{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-01T08:00:09.992919Z",
     "start_time": "2019-11-01T08:00:06.825812Z"
    }
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "\n",
    "from torchvision import transforms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-01T04:07:46.623671Z",
     "start_time": "2019-11-01T04:07:45.650298Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-01T04:07:50.851270Z",
     "start_time": "2019-11-01T04:07:48.375944Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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T1ranO1+RrlsIcPeXv4QmoaSh1JKzV2vkRJNrgfPbA9JgE9NJyWxseHXVERP40BMbD1mGNprgeozJSDLhBkdZlggCbe8oRwW4RMITUeSZwqWbzeTgyAqDjYE8zxk6y/WLK7TSmP2S7sqjkydlitG4IA4WUSmGtWcz76gqxeRgvD20R5Ksw6iEqafkmeLOOOPRtObf/vkv8eBwH7yh85EwLMnUiIf3pggKur6nc5ahsRi53cS5WkK3PegpamgWHX/w4SusNmQmsZ8ZHhxNOds4LtZXHM2mPDo8ZhMtoekIUlIqxWZwhAClKblcnqNExt/8T/6LP5sh+RHcgfs54D9PKf3qzef/DCCl9Hf+v8qUx3vp7b/+6xgRUMowxIAd1mQmxweB8GCE3Z6YSYXJCtqh585kQt9HZJWQMmFMRm8Vh6UgGsFy05G84qAeU9SCzAgWa8tFvyZHkmzkqNBc28jRbMxkVHEyKvnOiwveHU3IkJRlxqbpOMkKVmJASkPTdkiZsVguuMDwhpbIHOSsoKsyHs+vaVcD7rzjZ944ph7nKCSuFXgZ8ElSVBkVkT4KstjSqYpm2ZDnhnIscQHWi4bfebkkrxTeBrpoqdCEXPOTpwc8Xqx58uqc80vH4UjxM5+5gxpJvvnsiucvL+it4KAueevtU4Zkefl8QzkyiCzj/OUVa9vzr739FsumZ6wyJvsFZ23H6nzDg5MZZ7HFukg2JA5PSrTXXHcJXOQL+xNWteNiueFQGuarwCzX6IOST1Yb3hlXKNvzxEMfJUVrybOc827Nkaq4tz9l4yPrbrsBu2c0olIso2e+6emXFpUVaKMoXWTJgE+KKng2QuCdQ0iDJCG1QJWKtPYYBa1z1NLQJseDgxkyJlo7UNc5J7N9xjqRy8gwKNayYCIdbuh42lrGhUAFi4uCvtBEV3C2ekWZcopUEETEysSB8RxNCu7duseHq2u++vQpr88HXlwtsNFTFBobJGnlkNHzY2/fZ7HagE2c7hWIKPi//ugbDGmguVhSjgqkD3SN5eDBIa7veHT/Ieu+48XrczYvr5jdOUVLRV0kWmfpvME2HaGxTE5rTGZYLT12NUcZhV8JRFmQF4mf/onP8eh4hu4XrMnoFmtyrdgfH1CViuVqjcwVlVQgFU1QGGO5UxzwyfkrfJZz++CA8/NzQiE41QVClozGirrK+dbjF1yFyFt7Y3prueoin8xbZqNEu+h5dFKz9Il2cLyxv0dMsL93QCEii82GXEETNIv1OUNQPNob03QNLzcdq1YyLjLqqqCIEdKAqUaI1NEgSE0AY2g2EVVWBH3NxXXPYvBYl8grg+ocjbCsfUJZh9Ca8a1Dyjyn1JKyLGiWlo3tcDFyMK1QUaPKgioqTgvB86GhHxJlVTGEgZnRbJzgyfNX7I1rnIZms11nE1Pw+HKxPckLnoNJzWLRo0Xg8KRiZCr6XtANDbpS6CA5bwaur6+3a6EukWiy+cBkonl4eEyQgcvrjqXynJiMXoEqJMoGtAucD46r9Yo8JmRdM56OKZLk33j7NtOsROlttDHYjA8vzhmEZyQlGkHQguvBYXtLoRW9Ggh2G/1rvcfoHGc7gldUWcAljfKepEuMcPQuMSk0jVBkgyeqRK81hfUMwZNMhiagkqYn8V/97b/7tZTST/5Qjc+nhH8eGzm9fZh+4T/4ayQRSFKRaUHXewojsATcImAZEDIjU4YigygkIUWst9imQ5oCp7fRl2NtcEQiOeNS0iRPsxlw1hGSQAoDfhtZ75wlVwKdFYQoqceStnP8pbfucZDnlEXBF9++xbSUPH29ptzbp+s7FucNy3aDDZ57D+5jbM/L+Rlfu9zw4fMrtPb82puPmOY5UhuEBuMTIgU6EdnLcnKdQCvKccHHzxdMpOJ13/BktWBqKp53K55cWWLYECxIreh6R4amPCp4NBpR64KPXcfjj16TZYbgLOvFhtcvl+AdLko+/6V7jE5Kos6J3tNerOkHy3re8vOP3uawkrzXXNGuLfQSXWqOpwW/994zCqF4cOuQy9BihMJ1HoDisCIXifnFhi+8ccSF93z+cMLXP5rzjW9+zC//q++gga99+5Jm3vKXf/ZNvnW15utf+4iTac2/9Qtf4GiW89UPXjNShi8f76ErjRKaIXierhtWzcBBIchNzdo7BjcQXc7diaAPga+fLdnLJPcO97hOkcVizRGSMjNM9mus85xdW965M+E4UzztLOfNwC/dO+YLJwcwnfHqcsHz84G7tzRx0/Pf/dG3uTMb8eDWBN975kNguXLsTwyrxlIpTZYbjNTkwMko5/Gm4TdfnnF2sWaswRSKjU10dkC4yFFd8xc+d5vH5ytezHv2jyccV5r/9Sv/mIODgmFwXD69pNg/ISdwdFvR9hvOr+f4M8t4f8Zm2XDvC49YNx3tYs7J7RPW/QKAixcdWE3o5lSHp8RNw2CXnHz2Nlle4D0sV3MqU+JShF4ztOfoasqDN+4QCCgiXdOTG0VeFrjgefrkA0azQ5atI6w7Dk+OMYVGeE1ICZUJ2uWCclxvMxYyTZI9IWpylYHw+GCpTM2qb9Bk1GXFWbPiVlkSY+JitaCqa6Z1BUnwwdPHjMsZ82UDXnJ8NCNIMKZjf3aIswOr4ZxK52R6xqJdcXHV4K1EUyILTV1J1n2PWwyorERPMwrpMSZnM8Dq8QV0Sx78/JewwwbtDT/57n1eLNY8O19C8EiVkEpQjkowOf2mxxjBMIAMFoQhxu0ByXR/THTbaFo/OLwNJBnIMkNe5gQRWZ5tEGEbnXOAJpKUQJkM0jbbrBwVJASucYgQWV33TG/XSKVolwucDWTK0DYDRuWUU43QidB5osmoZxXNoiPDMxpX/Ps/9+N88dYxb50e0fkO2wa6wfHoaI/x6RglaxbzFzy7brhdFkStsDGwPxpzcT1QZoFcw/M+8PHFS0wwuM5ze68iaMdUlXzj5SWRwG99fEYf4SiLZMLw8OSIh/tTNtYTggBVcm+sUSrw7/6Hf4dvvv/4X0gE7g+AzwghHgIvgL8O/Dt/WgEhJMZEpBPbo8l+jUgCNQgyo2jLDE3COQnJY4eBPFM0G0tZGLzXJNVjXUte1DR+G4oUIpIc+KGD8ZgsVxwlSZYJusERpeZof0K6OqexlmlrWA+Bee9wWlPVMISINpomj0xVybKzlDJxmSxCGU6yjAvXMaUmiyWzScFxkqz1nL26ZioLbBMJU0VeeFQSDCvLZTQUIZCw3J8WWCeYVhXfeHnGx99ccn9W8cU3jlFyzvXVmhzYeEerNKfFhNeDA5NYNAHbe5bR0kdLc9ViiYz39+kvloQgefz+BQvX0DY95CW3746ob42xjztCobaGL3nM0KEygcky3n+15P6tgnI/5/F5xz0rGLRmNIHjouDFtWd+seLegxlnZxsmVUU5U7gucrfIsFawWUbu701ww0CXG5xUfPZgDxcUV21LHxITIejo+cAmxqlGV4l8VrMUgtnGU0TNxg8UuUCGhC4ErROMM42NiVJJOgS5NHQCrnrB1GjaYU1RjdCxxBtJHBKhGXhuz3nr9gnSZ8xdT4gtTanYK0tYd5RqRGEUl52n6iOhBnMdmHcrqjEoY7itE10XaaKh854fn46xx0f8T68eU4/HjHyPlQ5ECWOJa+HjV+dUsxk+DASxNVjtegHWU4/GmEnN4nJOEhnd3HP/3gm3RiWDH8jKEnNyzPrlNfmsJiTB5soRjUcFCy6xeuUw0wxTFIhyDJnA9RtIjvt373BQK64u5+xnitFoxMFRicJhZU3jW4TU2A5mBzX39/cJfcMfP3/Gt9c9qz7wcJQzUYknAUyUGKF53swZi5xjAefzJffunGK93hoTseCgltw5OeTSXDGrK4hw97DmwBS8f/6Kg96hckmhNFlmEN7hzJSCNZs+cDYE8tkhR9ohNQQRCMLT9pID7SnyAtf0nPmAsBGRGrwdsF7QEAl+wPUOkiJXNcIPdJ2n1CNGCpQ1dGFAULCvJY1z9EozmiimewXnFxY9b7n/xoxcC27FimvjSGqbNuaspzSKPaWxNqAzzagyiCEyiJ6KDEMgaEmQmixTiCFQ5iW5VnTRUw4wn/coIXDRU1U5nU3M8sThccWszvDBM4QOHxTlWBP6iFeSXESaENh0A7KxBCJ+8Dg0x7lhguCdvQkZBV0KVM6glSIzkncPZ3x3tWLRttu0FafwzlIVGcI6klXbU0vpKYQgWphUIxqbcLYnMdChyeRNZCd6FusBleWMbtKAQgz4mOFEpCCiTI6SkdB3PwKz86niB7eRUqAqyAaFLzKG1pHnjmg1+9WEs3JNJRWpNvjlwHrjSTJydHDCxl1jrSaRMNKgcrieb5DSUFYGXxSYxiPDNjKjhMKLBoXCO0GVGwbncLZD+ISjQuWwcYHjMjF4z8KXDI3E6R6aJVFloCRCajJg5nv06Zh5u+ZR5hBvHFAKyRffPuJqaVksNohBYaqSTCSs06zajsnxAc2m4b7WFCYD4PjOEb/96pI+dxyXU17WDd5HigqigqLOEE5wPBnxul/TPJ+zsJ626Tk4HjN0W99Ba03nI1IpQoy0Vx3GDOhS4EPEGE10ieeX1zwPgV/+sVMUhr/3rZd0Tc9roRif1NQonjy54Of/wgMkit/77mvwCc4soQp89tYh3/z2BV96eMrP7R/y248v2X9jzL1U8lHn6KXjzv19jvIxXi6Y3h1TVyVf/fZzCqO4c7qHHxwvVw2jVFAVkkxK7k9qnoZI4yKZDuznmo+cw8iBZ5tAnWcc7mfsJ0PfDrwxrTjam/I7H33C2GT84uGUWGjOVMN8NbBAMK4inz05YBkc55uBMRvawfJi8Zqj/Vs826w53B9xbzzi+qzn+HBKLVvev5xzcZHzRlVidSJEizCGsVI8Ww10eN4c56wXSw5mRwzOUxaB3hZsmoazizWfHR/zYFzw9z58zeWLKyZ3j5hNM6rCsBoidr3AdWvC/hQtTzjaP0Wokpg3TKczPukbXm961t/6gHI8Y9jrmYxnFMawnj9FGhBHD+iulmRVzbiC5mxFmAxU45qD6R7eb3Nhy6JCHVR0zvL04jV0Dm8itYbjgxP6EHn85Alv3nmE8wGtPH6Uo5SiNIbOu23KoE3oPENpGBUlpIAQYwYf6fuOLM9oBwtoEHGbghoTMlosNS8un2KHgFYD3sCiueTk+JS278lHkr36CLxn02yYnkyQwPn1R+S5ISsOEDEyLUZwWLFeR2SKqOImRd535NWY8bRg2c0x5QyEwg09IlmYjPHB4ZtI329tlCk1psgpREZeSdZtoG17ygywPY2VlFqhygI/DMgiR4pIt+lxg8UlRy7H5LWis9C1LaCISLTOqPYMwUXsYNFJEZVESokfErIU9M5TmAyVg9E5R2WOT54UesJgiEOkPCkYFQUOgdQR1zl0XW4jjj5QljndyhL7gcXVmoefu00hcwKOzCgezqbISSDaDTLCZePIUPQxsll3WKW57q+wZCxeXnN3WtEMHR98POdgr2KUa571K2IX+Uer12z6nqbz5Aga6zgPgjsVPDm7wEXN/cOa3GX4FPj2+QWVznHe/5kMyQ99A5dS8kKI/xj4CttrYv91Sumb/6xyvneM65qVcwipkFESBGiVqFJLDKARyMLgnWJPJS6dpyjGSJHQWUUzX5LigMol0UZQAqUCeZ1hcvDrSLIblIIYNV4F+q7F1CXBWarYMZvMyJeJpl0hRxNkiJTJbPOlhUHKHpnn7GEYsoaMAtpISI7QbHDLjId7E+aFYTJvCElS6IL1vMFHjzEFQUtye83Xny+5Paq4XdVoZVkuGp5dLnhx0eI7x9RktFheX2/Ab09eJT2htbxz65hiZYmpQyjHIBQfbTr26oyT45LnFz3VyPL82QI73zAeafJZBcoz9IFJLegXHftCcvfWIe+9mPP8zPKL79ziD4YLPrNX83BW8aJ1fP405/2PzglS8tNv3WWZEi61PNqvKWWkuF9zx9R852JJ5+BNo3hlNBM9Za8sCHnOSgbcec8kE7R5opGC0iWkzFDRYofEMiZmLQTVc1coFuPAetMSk2AWBeuQKEXCCE0fJS70jGTFLINkW/qUY2SHUpK8MMToeN0vmSnJ8SjjfOM4Hoi9AAAgAElEQVQQPjH0AxNlEDGATgRredlLDrKEdQ4ZodQ5pYIuJG7lJUkJLl3ktgo0HqwwZMFgnaM3knVMrGziZH9CZmYs/Jp+AOEVVwnmraXVq+1dhcFwNKtJ2jOsPPtHI5KKZJXBzS/Zf2PGabXPy5cbXlwv6b1HdIHQtdiswIwrhHSk1uOaBrU/JnQNbhVxC48pBK4RgOT4oGRvb8Ri3bJsGw5v3WdqDKvNBik1h2NHCpoP2zXJacoQEMMKowx1lXPd+e3dAplz0XfUpSY3OSvZ4xO4tifb3+PunbtUMVGMNbbvWYZEXW7T/vYQFKrizbEh2sg4ExRSIYUn+Ywqq4khUGvNyckIwpgny0tqk283AiZjv9b46FgOOVEOrK2ntZ6AwmDxciBkJSKNuGo3pJCTqUijEgfjCV0fSFnJ1FuSSsw3lqORoms79vYSpsqRyw7TD/hM8GzRU2jJKM8RPiEzRWEkm6uWclRSFJqGCE0gZZJl3yEXidJk6CCZX1kO9gtEhGUbsJsNs6pAjSta68hVxkgpqr09zHzJubcYl5iWFY0STKsS73uy0ZTQ9Dyer6i1Zm9vzHhc4DuPUJHBJXQCbyMWRZHnjHLDwWjETx4d8sZsSvCetnXoIiMLMNKJoii5KyMvlWTV9vjgkUJtrw+xvY9XkOhDJCmF1AkRHFmesW4lhTIko1FJYF2DVAIlNSlYQlGSG4W3Fic8ymtGWYYLjigS03z0wzY7nyr+uWxkEogOEp7kA84NqJSjdMX1uiPLNN16hQmBem9Cs2nBWfrlElloipHAdh4iGDSzvRHLddzeXbQWqXKS8kgh6XwgEpASXAThDd4nlDFE4RicJy9zzpuOd2Y1RaHpmkhWd2BAkUHYZlRMg8GHnMt5pNZrCJG9yZSHmwX7ec5FJ0k2UOURrRTNELDOIkyGRXB5dU5tJuRodHLgc4aNo6oEHz5+zdHBKadjxYffWVCVJbfu71PJnMdPF1ytOr79J69pmoGkAr7puX3vFNyA6yxZpinzHFMqTKFwLqALRbdy1KWGwjB89IrxQQmD47sfW073JV9+cMT/+JU/4d69xF/98Qd87dklr9WaJ0/X6JHk9u0pZ2cLXn5yxbuPjojK0WH59tWcx/9wwa2TnL/41pv871/5Lg/eOuUX3n3AvbLm2fyaLx4f8LMPT/n4fM3v/u53OD6a8mtHD7kaHB+9WnCI4K5UBFOwth11ts2Y2LTb9Nk3yoKrtuW7Zw2nk8RbBzVS5Fx3LZfLljKTPHrjGNcO/OF3z3nz9oRHhxN+9+kFucz4cjZFeziY1TijeblasrCBn3jzDtFuNxw/f/8Wr65bXm82HB4dso/h80cH/PbHZ/Qx8G45YlRm7Enofc/KOmSuCXZ7Z+9LD49ZL3rOri+5c1BxVRU8FxueNis+dzzhV9+SfEW84smLOYv1CsuU+YefMHvwkDduFSASHz19xbDYcHz3iLu3b+Gj4967D/nWd87BQ7duWa1g3lxgF2vy2Zjbt46wQfD44zOyfMzd+w8wmWa5uaLKS3q/TT9cXs1Z9+fsH5xCglFeoTPB5fUr1MGM880VuRlTjCp0lrOxPZ31OBo+c3KHZrNmvtqwfzTD9o7BGyaqYr65oM5q+q4nEFHZ1v0e1TOuFmfUqqSoNS+vniJVTkgwGc8YH43ItEBLSV0dgACfe06nt5kvl5SjMXmhqKqaxx/9Y7p14J3Pv0Mi0fUteVERvUUmSSRC9LgAs9EBWmToTGCYsbSBQmiG168xswIfLMFG9o/3iS6ySolN22C7NSYvCKFAmUhKGVmuSKZCD5Eil8jc0MSeEAOKgA8Sk2XYpcNnltQEZJaxmTvW82vG0wJTZHRtRwySFD1BaOTgEFWGFIFmOWx/9GDkwSX0SBGVxzuJEol8qqhcSVUVKCVYDw5hHUFqhI/4aLENGKUZFyVHZY5EsfGS0i/IpMaqwFBug0l1KfngxSuuWss4C/zx2ZJoJV9485hX7YYPX7SYFCB6XncDm87zydU5s2mOjoLG97xcr9gkiQyRw8yQJYkN8Go58M5BTXSWviuYHglGTuFUjXHc3N3/Z/OjiMCRUvoN4Dd+gOfxZHTBEZMjigqUJFcBl8L2AqeVSOnwSXEwLkAFSmVIyqGsJHlP5wU2JMZZQMmI8gX1WGJUJFnB0aTg8nqA4CikRxUFjxdr9vOSHMHH12tGVvNgNsUve6aVZOgCJgaUkly1c/ohYzTJMd4TU01yPeOypkuOFBJFB0VoccMC3xomucKGRB8C07xi8IHkBz6etzy/vuT25P72boHU/ObLS54v1mSZpnGO5xtHkWdsWocOglxFOhLe9Tw7W/GdJ5/QbyImK0l0IDXjuqLpB4b1Brtx27sqNFTVKeXBFB8S51crxEgxSA0DhAzKvGBPe2ga3pnNKJXiu6/mFBr2p2NCprk7nWCbiA4db81ynnvJWzqjLXK+6wYOxiOSb9m0A6PDgqKSBDSj3CFWgavKMI+BoW+ZVjUmg2Zw7KuK0idedR1XAYiBvMqZHU44W1+jTeJCQCEzmmAos4CNnrzI6KXG+IZSRIRqOZ0VDP1ANyTGKmERbFxCeChExqj2uOBZZR4lc2JqiVIjhSKlDOkd5wFi6BihQQjyqqAcIBMN63VHPakpyhxRDKw6gWbEk8sNbT9wYBRP25ZRIXl054in8zWrpmXotznjJqt4vVjzuKy39ZWGbr0mZUDTQWbIBHz32VNeXszRsyl906Gig6wgWkc/t+RHU2RvCXjqgwnd5Ry/iVAYqknB6mpDrjO++NkHjEvFWdOyf3TCyd6UaDuIiYxAISWDiwivqEeS624NKTAejTGq5LCAN2tF0zUkMaFSERkCbbPGSM3gEsveY5Tg/etLfm52SkOkj4nYBlZDz6ILmFHPHoZgBEJZJgi6bs2ZN9yd7dF0HXsHE1aLa9AVlZ4QVSQYhdKeTbdknI3Yr3Ma4Wj9QCYnLDcdVsGeGnHd96zSmpAkVWbotKQSYLyjCT3WB7yQxG5gsANWeioBAsf1csUmOq7ahmEB48OK08MaMcm52gQWmzW5zCiRNOuBpgmYKqc0gS5pEgHlAm3fo/IKpKC3FkliVOckDIUXgOVy1aK94mBWsVq1eJWwnUcIR4thXBU46Qmd5yoOyJTAw6AEKgSUgIVvCFayaRxJBhCKtu0xSnB4WPK54yPujMf00kPy1FlOnwZqUaCFRgjJo8MDpirniVjwbLkhxYTvWuo8x8RIQOJdx6Z13J4qRBBo7dEmYGOkHwaE1Cg0/RDIVaBJAT/0BJGRS42zkSZFvGspkyb5RBR/ttPFf5n5QW1kpiW+FPgl+C5S5Yq+d6A72jBgG884L8kqQ+x7qiQZpKHvLSrLtz94oTXROlw30JgaSkUIA4KMjWuQAnoXcD5S6pwoBCm1DDaRZZJI2P5AihKolNENHSDxDrADe8eSSma8+KTncCQZ7x1wbV9wsW5BOZYvLZUpuXdQoLRgjEDawOAUQVYUEXLtCA6MLkha4FrH7KhiPlbUG8nJFN5rA8J6+tTx9cffYiZrXr5asT+2dE3g7GrJat1RlRnrpkUZReq3P6KV8KA82aRAFWBUhtYGnSm0lpixBKERbFMxy8mIX3lwiz85u+Z33nvFm36Pf/3zd/kH+yVlbvi9915x+2jC3k/d5Q+/9py39SFvTA2XueDo3pSJqWh95DMPTzlbLnj1quWn33zEr755j//j9BnvHk14a7aHzuCjKzjuPFfnA5d+4PDOPif7hzy7WPO5B8e44DlbOL764WsUnp9689b/zd6bvVy75nden2u4r3tc4zO+z/PO7x5r76pKdlWSMh0Su1sMdECxIx6IIEIjCKLQ4KFQHig9eOCBRyqeiIjQirYHatIYSZukTCplbatqz/vd7/jMz5rudc/X4MHa6GHSjaET9PcvLNZ9Td/v58P+KGXsLAsGnq8aHs8z4siwl0cg4eNFxeMZ7E9zfuejZzzZn3M4Tlj2jjO/pWhiJsWUg+MRE6/42XXFowGOUgVBU9U1lt2l7x+/uuGXHzyi7huSJOKX3j7l7Lri04tbvvfmIX/1jQN+/+UNZwvNLz2Y8un1FaDJkpgiNlz0Z3ipuD81XIeO51eWh6M5Iz1webuhGKcMTqJVwq+8dcIfypfcbua8fLnBVyUuOSUyKWW5YdhKXOtZX9yQxxClM55+/BUqznH5lCge451nWHfMDu+xuD3D7ll62/P4g2+QGgkh0NiORbXhulxxMJ6SZynF4X2qMIC3YPX/DcKYz47xEtqhQ2HxSD5/+Zy+lGgpmR1PcMMABCbTAh0p3OCptxteDR2HewV12+OtRycJSkMc7WBt4yRlnu/tooC3Fcf3DujcEkFDN1giOWXwu29/2b8iikaEMDApMlrvkFpws1oxG9/njYczhtCy7louzi9BK5Bj8jgl0oq6hb6/oZcR49GMy5fnxLMDqlcrNgp81aKPDxnlBnpPNIvAe1ocvvHEItoldlxPuxnIpxnN0GGtpxjlCDFg7bDjBHSBQShk5OmdJ8ljggBnPb71JLmmbR3eK0IAhUJpj/SKwA6e092AyUF4ie0DLv0atDVYlIa2qkiShCyK2TseYa1ltd3ifE8IAqMC1bKDJBCFhPloxMODgvcPR/xTb58ykYZepyjbYrQijjLA8nq1pWkapgaeLRraPjBPE55tF1wtWl4vVuzFCulaltbjpURJT932TKTGoNiPMxbrNYiINgQmxlBut+SxwcQxcST5anmLqTZ843Cfj88u+NbdE4xWf6p14c/kAPePOkIIjPJIkSG6kkhKpPTsUrA72p4pEgbvkHRo7+mFpq62qKCIsglhUOTjnOB6tEoJwZLnhrILlF3NfBqRKI31Fi9Bi5g0BCZeIYJlIw2newXpRHG7aPG95X1pyCYC5SUWx6YOxIlA+kBKoG0HvBKcTBK6YFhuK+gq2iFiVgtWrmacZRB7UsnuDyAEL88rPnx1Recjni9a9ooNIhO8KGuG1uELA1KxoeOrp7fooad3EIRg6MEnih9+9iXbZY3Rknwv4/ZasjxfUveOsZS0oWGzqTgocuzjfeIsxkQSZT3H0wOCgtFeSj/ULJ813Duc0KaWH55f82uPT3nuLd7AOEu43QS+9/CUFT2fni94lKUIoynXW9pEcb5YUeSGZBrx+y8rfKn5p1OHSGExVCRR4GiW89nVknI9cJRqJkKxDg4ziqgWFhk65vGuv+byhDpKmNeKWBsq19E2gSQSdMEjXaCIdvQ77bZsG0dcGHIiegSRTBhCh/UJkdZcrWpaNfBwXNCJGMoO4eAkT7l2mq0LJM6xGBpCLUiMoR5g43evWfv5mJPYka+hyR3Les3D7IAIzbJyrLdbxplmNE2oraO8vYXZjG6k6bZbnO0xeYLqQVhL01Z89uIZbjHg6WkbyejeHnUdEFHMq6sNNjiGbY9MK6aHU4LtWFe3BKHpm4qwloz2c9reY4JgKHK6aonoFU3jKe7MmMU5P//oHmlkeDRsKOsOO9Sst1tUrEi9ZKgtvR94fDhjU9dorXleNmR9z7wY8WpVQjElyBbdr+l9xHiUsu06nOtBGF5ebejbkmmsiIMgEymtWzNRBaVdMziYpAXX24Axnpuy5ap2nGYp+4nipl7Sd5b3srf58OqGslwjAxzvjZkejVjclHyyWOOCY+Y9KZJMRmxsxyQxbLxlbT1exzTlktykFLFitdoQnKMkpnPQVS3rqt7RWvUuuvtgb0IXSbQQxHYXR962DWwEhQZZW7QxRF6ysQOHswJV97y8WRNta1yi0TpwejClr1uq0pNEgta2XN9UzGdT4lSTFBHtdsA4z95khrSesqoptw0uBAbAWsHQrhmsxxuJ7DzRXs9EafJ5Qt0NNMGRoll3Hi08Wgi2A0jRkSvB8XzKu0eHPJoUKNchWo9AoUIgVwoZFL0eUCrGBs94nPFWElHMprx4fUlA40OPTmJcN1CIiMhELKuBWWrwg8dbu6MBS4UMDu96tBC43pPHCTdtQ9NYDqcT4lgRSY9GUTUDWZwQ5PBPesn5Cze9tfR1SyRAKYUVGqEEtuvQyiJSTbA95cqTRZ4+0oRgIRIo72hqS1RodBYDAt96vGgJDvpyhZCBblBYv+OtORXwYdcnQQoIO1qbV4JxbvByhxwYLGitWFcX1OWUkoQ8SVi0LfPYk8zGqMaTxeA7jQsRt9uGveMjVLMh7xXnsqZpGjySNNIMUQy+YjbJSSYZG1sjl5ZCeianp5Q//pTXq5qgUuIUXjy9gUhzuVrz+nZJAOZHY+raEZmUfGrotj1N33FyOOWmS9nzK5YbQV01REFQJBG+Az8okoOU5rrG6IC3gatlzcSMODhaUw1b/ts/+oJf/eANynXFl69ueDe7z+kkcHu/o+l7fv+nz3nz7RNUkvLZl2d8a3RI7RxBaE6fzPiHT8+QIuI3v/MO62XDf/mDj/n2G0f83L19/vsffsqXT5e8//49fvOX3gUkv/fRC97vxnzzaJ/aX/LHH11j0ogOwf0oZhkkRyNPFsWUg2MaaYrDPS6ahtvrNWWWsFdIOgVGC2zrUMbweH9M2w4s1xXfPtjjel1yVVbcLVKWTQ8YhiFgYg1OMy8MP3r+inXX8/6jGdppPt6uWdoS6eYcmITvnhzzf7y+4I++eoWLBV4GxkJyXQ9oFHvTMe225mZVYU2MkJplP9B2LUPveNH3jERH6h2/8a0n/NY/+AJ7ewXA9svnfLqZYestyXzCyb3HzKc51nZcbS5ITvZZPz1ndHrKwztzFqsrzGzOaDLm9vI1da85++hzjt96QBEXlF3PTXXNZLyPEp5xWhCZiI8++gg9OyAxnsxM6LsOo1OkMWg9sJcds25alpsVAsHBnQOSJMIOA2eXLzncP2JoOxgk569eYLc9j99/l0xLNs5jEo2zDtsFvJTc1i85yO8RvOf1l59zcHwHpR2T4oBFuUTKlJeXl9x+ccneGwfcPT6lcRtW7RlFdIwUu0eCm6sLZnHMME4YfM/Z65eIYo8in9AOcP3TTwAJWjN+9zGSwOXTF4TNlu4WsD1EMaiMdtmh45hinLK53pKkmtEEhnlBmCT0bQ9Ok6QSlKPZVEQmp606eucIbYfUGhnFaO8YxO6yxDPgfcAGhZQRSaqJEodXESKEr+nIEdb2OO8RIsaGgXGcgDRkhSAZJwTXU28qVBuhgyTRYFJF1zU83JvwZD7lj794TmMrUAatAiFIHh9O+Ru/8A6TScx4POHNvSlRtjsspTqhU4rae6pNzYvra3SUsl6XjLOYwQZu+oHlVwtuywaUYdUMtJ1n4wLbtt8RaXtFGzsiEXFSSC6ahoV3LJ0g8wPj2DDPMrQUOBeonOV8teUoH7EpO3KSrymXf/L8WXjg/pFHCtDS4m1PplIy40nkQFfXiODR3tH1WxQS30nKJtAMnlwNaGHIpCIzAdlvkb1nGjn2ZgXxaApSsvae60XPi80WbTzj3NA1JUWseX29ZbvqOcw1R3sZiSpo8Cjl0YNgJBTgMBiK6Ziya+j8AImCTDOfFPQS0lhzkKbMU0EW9RSjgl5LlOtRzoKMMZFGCvjo6pa66cAOPL+9Ztl3bLY93QCRicmlIQjPxbpi03RYBCoSOw0BLVmqwQ8orVBZTNe0BOlZvLqFsma92dLUHToTiFwyGY+xoSdVDpvuMKuTdLcR/2zVMBhHllhS55iOcr46W6NuK+4cJjztGl5e3WAHwXXV8eZsAmh+el5zOtnnB4s1N3ZgzypE2fDzd2d8950JH71e0NUdp6OEGyHZiIRvpgnHGTTWs2p66q1kaAQhCghvaTvHvtFMlEDbjrJuGO1nBKPpG0/tLGkaIxqL1TAIiZMRfqronMIqTeQGBtUjYkVLi+p6gmrxvmXbtTT9QDARN11L1W7RCPoO1nWNymOGPKLs/dfoe0fTdNhmwFgYpxk72rZgU/VcLWquSosbOu7oiIf7Y45P9phOpxwfpKztgm3VkJuEWaYZkLv4XKQZ3IDDQh/w2wq77clGBcF6GCWY0QykxG96kkQybFsCnmgsESrQLzY063JHytps0XHO6O4BZiRo1z0He2O+93NvooJgWow5yPaYmjG1d9RDi8IiTSCeZYymOWMEd0ZT7h/tM7jAzbKmHiwDNZ29ZDyKaIno1Y5OF4LDWjBxDHKgouV4b0KaJ1RI7qQ53m7YOJhNx4jWcVPf8vS6ZNXVpKMRUVDQBmZpwmQ84Xb1jCLJmKWayTgjizNOzZSm7kilI5KOVbsmeFABUmG4WVYstwM32xakYz9LSbWnGXoylSB0zKKqGQbwMkElE3SSsqNDe2Qi2I9ijElAaVIBUaRp1mtulw37JBwXKfvzCZPxiPOy5baxBC+JE0VcSB7ePWQvT9ibGMazjGik8alEYagA5y1VvUUCSiRIB2W3izUWRUprPWkkGUcxJsRc324pNxV5pFlvtpxvG+q+pW1qFm3LtWtoWk/ZCJwUO73A4Di5M+UX753wcyfHxCJQW0EiY2ZxQmQkeRThlaXue9qmohtAScXxqODxJOOt032CB+EUndtt/jsVoSKItGDRNKwtdD2sO4ccwu5wG+eIsNMWBDswNQYlJYu6QovAJIoJTpBrcLbCyT8Xy85fqLE20NURAw7rduCDoAND2N0y90MgaIF3La0DLKhoSqGjnVLAaLyz0A2IDoppQTFOMJmi6ToCBp0EdCxIx18Db4Ri8ALvPX1wCByjVO3UK/RsqoHt0JNpgfURN2VLU1lWmwrbu11kUxuioIllzHiSIUxH33hyP5BLqKQhzSdMIsPeo2OyUcrpUcwAKCsxdkBvLXEb+MPnS/7z3/oR/+Pnz1gvO2wYSEQgnaSkacBKkHHC7HhKUWTEKaQTw3gck4wNk9mMZdmhhcbMRji/u8GfjA3DeiC4nQalqjrc4IlyQzwy/Ff/26d0TcNfe+eUAFzWNb8yz9ifjbh775ifvXzOp+dLPni4z03X4eMEsbaM6sB33jzlBz9+yevVhg8eHpPlhmcXJf/L52f89cfHRIVmRUXVBTIb0XjLwWHGP/vokKgW0DpIFb/zxWt++OklVeVRBo4OJry8WOOdZWIEZRPIYg1GIr3HaM0oNTy5MyfYwNWq5teenOJc4OObDcMAp1nOfD5hYVsuFhWZjviF+zMSI3m9qrjtLTJWfF3M4sloxFnXkhuJ38KLdc97s5hfeHzE0/VAjeCtPOXdoylXdc3j+Yg3xhHnqy1lPfCoGPP+eESxN6HzgjyPqZuO1tccH8956yAjVp7SW6yMsE3AtiVgye894MH7b9Bvlhw/OSXSsLp+jhfw+vaCYdMyzzTpZIxd7QA0k9GYUVFwtrwmGk9ZLQawgnpT0dQ128oyyU5oLAQiWhfoB0e8l2GcJJI5QSq0SVhVSy5ePiMgeH59xXKx4s69O+wfHBCnkmooub19RpalWO93vWIn2L9zyuP336FIDO0wsGqXeCEYnODsqxc8f3VBkd2n7BuWNxfcefQWRbF7Afrk6ac8++g5PgiWZw14yeLFluV6gfeK2OyjdEQ7dDz96WeoNGe0f4QNnmW5RqiCLB2zvrmi/Ow5hAxsBB3U1471y5qwriEYaHuwFnyHmc/xiys2Hz/FWk+cpURKcts0lHbAWU9SZKAcaqSpt1uUifDBUpc1tq52ihqtcNYxiN3LmVYS4XaqiSiKiNSAlwEZKYS1Oy2X9HR9j4wiVKIRMiCMpOo6bFPTVxX1pqGrLL4DbWKiXINQeO9Yl1uWW8uTozHaREgbEZuY0f6EIh8TEIxGBd948oDHR3OQgaGHyThnSGLqpufs/JpXFzdMEoN3gTgtQEkOihG+b6l7QSQi1uuKynrO6paXy5Jm6GmDYgC2Q0c/lKw6iEXGZNgBmtauJU9S9qYF9/YO+SvffY8PHt1H1HBRrvgXvvU2UeJo+j9dSuX/dQrlP86kh3vhnX/5N0giT+c0cQgEFHXTk48Mo9RQNbsioRAwSIeSGmUEshsY6kCnYG9PEYmEZujZLiuEHHh05x6bxuJsywjHViXc9A3HmeFxarjsNXVds65aDuc7oEPbCLI044PZnDuTgtQM9DYmzTQXF7d0kWKqxxSxxoSKF94z8gp0ykR0DBLKocUMKbVvmI1SXGepkXxyecPf+8PPUDgIknvzMb/+S+/xoy++5CdfvWLb96QmRQS1wyD3A10XiMeGwfYM65os1pQdfPeDU46OD/jZl69oz1d8dbEgn454/OgIn0pWtxtEF7jz5h7tBlwMYyWYCEVyNOHqqwseHx5xVW4xreDRfIaQjjSSPCtbhlXDBwdjvqy3KByTpMAqRTCWddvxyScrfuWDu2wtxAju5oKr1UApArM05YtnZyTpiF97cII5gGUbsz80PN1WXAlHVgpEs6FSglJBayNi6/BVwI48dycJzgqKLCeKHK8uS5aDJTEBv9kRS4nAti0mCK77immWQpcw0QNNrChxmCBQ1jAYQd53ZEnOKNcs+h7TCrIsotUCOoVva4rYs/QQnKaYpbi6JVWgnEIlijZ0RHHKZTWQhIE8i0HERINn9PiI9XLJi5uGD8/OWVzdEqSm2XagJMPQ7rxqkeHyJ18Q5ZpBNAyXFfSKbH+MHkW0qxbf1SgTIbTHHO5RfnFJfrKHlAPteoAA+WHO4ssNySQgdILre4Jz/It/9Xvc3C45GBm+/cYTtt4S+S0jc8D+JMbbisXS89bdU4zo+PL8isRkrPqOT84uOMxTPjq/ZtP13JnPyKKInoQ7ueRsfUsU5wydYz7bw6qBxeUFj4/3sUPg+c01RTHCBcXDIuG6rNDpiMgEytYxdC2JUrxeV/gQsZc7TmZHFNrwP/30I3IT+MbRHfJIkxUFL1+vyEaabbDYbUeWSZJ4xKZdIX3BICx1taaXOdtqQysEiVastxXNsGHTCja2o+sGlPQIZzCRYMPMb9AAACAASURBVP7uE+4kGQR4I4+wQvF8VbLtBqZxykgHpIrolEMIjw2BVy9XCCydEEynOaM4YUtgImK6ruPVZkNaGHId8/TlDXXbkcSGBwcTHt47xAlJuVqwKHvKLjDygII0UwQTobUA6zm/7WlEz0xBuWkQWlL3MDKKtEipqwrhJI6AEJI8TvhXfvU9vtysqOuGeTrhvfmMSRrTdh7ZdshIEKQiNgarA4k2KB+AQHCgTcSLxZpPViXLzS1uaJHCo7Ixi23LCHYyKSlJhWbQAm9BxIJt68h9oPG73MS260mVRIedBzArYgYPeMcg4T/9d/6j/89SKP9xZnS8H77zr/5zJHmCjzx27XHe7qLXXpBoyXrTI5VAywGRKUILeR6xLvudo4sdrEMJOMgNfQcdhmFoqZuaWDiuywEhNWkeEckAWhPqmsE6EAUoxziRFKOYs7OG77z7gL90Z07be6phoMhiJqOY3CRMk5wujnHVkhZDnnp6mTOs1wx9i/UeawoOZMu6aphPDmj6hk+fX/D3//gzqr6jri0PTo4YHeecXZyzXjagYiZ7GatNTRigripG0zFDsKRaMBqPsQwIrVhdlYyzCMyO2pnGMW3XkR8WNLcNTV8zSlKEFlxdVYyKHKssi2cbHr1zzO3thnGe8NVnS946PeIvPznhdVfyk5cLHo6mPDpMmO6nfPhsyfX1Le/cmfMa+Mnz10y1IQ0R3/7mHS5uG54+u+Kbjw6pheOzsxtuXpT84tv3+dd/5Qm/93rFf/0Hn/Lv/vPfRfaB/+7pJZvtlm/vzxnlKf/NJ59SlgN/6dF9DlXE8+2GD19e8te++YjT0QSvYQiKxrV8tF5StHCYZORxhFWaxXZDsII3TmZUfcPvfXpGLAzfvL/H62HLzbrhUBWM4oijfc3Lhcc4y4PDHJ0kfLZc88nLS/6l99+k9Y6frdfsAzrEnO7PWdqaD7+65Gg64qQwpEbyD78453Q+5fHRhB+9PgcZcyeKePsbx3z+/IrT6YjzdUNpLd+4N8N3AVrQicNHgpScv/M//ANubxfUmxVHJ6fkacLt9hUpd9l2NTdPXxCCJr1zTGCDamJmB2NkDCKKuLxeofzAyZ0DvvjRz5BG89533mfTdlRuy9B55sUethtY1juY18ODnIDnenNFkR1wtXlFf97y+Bvv8MXHTxk2njD0iChh9OQu6Jb9PKGIFKtqyeX5LQ8e3icEhXU9SMvIFAQPjYPzpy+YHOWYLOd2ccWsOKFxNZOigK4n1hodazZlzeH+ITYIFuWGpi05KPZ4uXkFrqUra7J5hnQFh7MTXpx9xVAPjO4ckcUKKQPL1rD66NnXZVYDtkakCcgxoRtgWINrQRvyu3fpt9eM5wcsXp0xevgGeW4ZBkVoOiYHBUmuQO3EgkJFlKuWvrHkkwQIOOtRWKwP9NVAUqSoSNM3HYO1aJ2Qxp6AJtAjjWHoPL7pQGlccLiuQ2mNkhITG7xj57TUGikDdl2jYkWUxjBYrNUIEfBi55MVzhGI6boeox1Hozm//PCUm9WSf+Of+VXefjKnq3t0BNtqzSSd0HUVVdWztgalHU5amn4AIjyC29WWqimpOstFbVluNqRxTI+n2XY4YNtVTNIJKoRdh09riiimZ8ez2DYtwzDw/smci6YjUwaU4NOLBYvGMjUx+5OEaRrzH/+t/4xXL87/xGc49f3vf//Pct35U83f+g//7vdPf/kD0jhC2h4TJ0gDSayIiVBI0lQzyyXp2BCbmEiC8gJnd7cdVnnScU7XWiICiUhJTEzVt8y1IYsjWqF4dnZNITw6zcl0SpAdkogkl0hpCE6wtRbiiLpveVhkmCzB5Cl56Fl1O5eEVI4ORctA8BI3KKRyBCUwaYy1EV4EpHRYo9EmsK06/uj5DTerklgFpFCc7k843Sv4aLOirHpUgCgbozSYWOJlwFtHW5f0zUBT1jTbjniUkyQ5yViTp5ook+SzmLJylLc1szsTTJYybDviSYzMJN1tSyI19/dHiMZz3XriyvJwlpFrxcvVhnXVYWKNrRreOpqyEJ7gFF1QfL5ck+iUB6OCRezJMsn15YovVzWP7xTctJ667nj/7hHn9Zq9/SnzLGa5aVG94GJ9S91JkiRCW0nfVqz6gbt5jhKKq7rk5apmkiS8PU95XVquqppxmnCSRERRzGVZISx0diDTnkyl4EDGMXEc0fUDkRIM0qC0pOoDtvc0tmMEJGlO41qc3PUOoyjQVC2DHcijhK1r0EnMWMcIOzCOA7ZxO49Z2MFvtPYEYXASah/I9E5yfL7Z8MGTJ3gb8eGLl1yubjBSs+0tmF3kVgy77p7UkvLyDGMyojgiGAVecvhgwup2saMSDi1D2eNaQ5Il9O2G7nJNt21QaFSWgYzo+hqVGnSu6LdbsjRlKjSdU1yWFRESvOet01NC77l3MON6vUVpyek4pd72aAGOnljnpDLQWs8Ghw8BoxUmzhhFX0s5/cDE7Hx8eWqwKuZyc83D2YwNlsELpmlK6zpSLJUIKB8xzVLaasWdLKclBdlxOBlxkESYr2WyL6sVRZKju4bX2zXXjaP3NbGCvg8or0njMSeznE9fnNM5i/aOgOWqqli3NZEQeBQOybKqqZqarvcIYrLR9Gtxpudkvk+hPIHA/mjGXp6iop3Y9+3pmMk4RfrAuhtYuZrbbc9t1VK5AXpJ21tsCNSDJRYQ8HjniLKI2CisHxCpZjJJGJmIwVpiKbi4KWlcIARL5weEsszTAhJQkaBat4xTi4wNMlYU0qDVroidZTFpFnF51WBVhCDi7ijnW4+PqfqW83WDEwJR9xg0Y6VREcgsRYWAJRCMJhUa7zoUiqAkCoEKnmyUkGvFYGu2ZQtK4cTOIzWJY4awOzT21uLtwCiL2VYdg9rFUI2wO+kqDh1FWBmwXU1As5dGaKXpveePf/sH59///vf/k3/Sa89flPkP/u7f/v7RNx8TxTFu3SBEoKw3EAzWWkK38yd2X/8urgcTKdraYYzBioB3AwRJ1zuUDERa4IYB4SxBapIipXOCZtsgLZh4B7WJhSHREWkeowjk84x+kGzbjtE44bhIyPUuom+EIkskVuZY2yNNRmxrFnVFVcFmtUYKibOWPAQOshG57UiiEcNQ8/nVit/+yZd8dXZGW7eoLEdnEX3d0rcD26ZjNMtxfcfypkRrSTyKiRMYFSlCKdrWsVptqZdb8iQmGScIDcLE6Dhiudzw+tU1qTG7w+8kQRtNnKSsFhvKm4pib0wySejKnnkxQeWKoRv44c9ekE40q7bn468uKIqYR6OCBY7nFys+ebrg0Z0ZbzzY56vLFV543s4LKu2ZjCOeXXac31ScHhQ0TnEyn/DWJCWdxBB7PnnWcLlpuXOYsp+kHKURtQWda+4e7fH09TW/++Hn5Htj3n68jx8Etu9IopiDkUF6z2GcIZXiR8+vGCcxxghKAauhQ3vF3GhKI9gfxZyVjsNcs5emfHi1oLE1b+/d4cI2KOFJZcRNZTEm4v5ezlfnJXcnCYfGUHn46GrNYWpQkaSXLYWOeHVbkSSG04MxXy0rtBM8OJihpGA5DNydjbhtGl6VPctm4M15QebA6Z2LsJduB5rQY/7XTz7GS8/+8Z2dh00Kgog4e3pNeX6JyeZMH99ne3GBGFre/sYbJIkikoabraM6u0LFBY1tCMJz+vD+TpgsJLiBo9ke3ls2VQNi1/UMdsCLnaojNgmNi3HB0oVAdbkhdD3gEWmOSjOKJCBDh5QG6xXz/QOCkBghSaOYUbEDSWmd8OyrS/L5PnHs2dolmUnIshEHoxn5aMxgLUPbUzYX6BSC3zk08TvJepCacTJF64JeNEzSPY6mJ/z0xz8mqEA8z4ilI9K778K6jPA2h85BaEE57r77Jn3rsNsL0DGiOEYYweHJCC8lhwfznQZruSAbZUhjiHQgzgxt0zEMgsEqJA4lJNkkpe96Yj8glURqTd+0JLkhCIltLFVpUSGgVEAogfcCG9gljoRARRHg0VIjldo54KRGK4V1bpcCaD3aW6I8ITIRkTRItYtBp7HExCk4j7UWoXb92SQx/OVHJ/zNv/Itfv3n32B/f0ZQkpyeaNjwX/zBp9y2HXmS0wnF/jgmTcfk8Qhw3DaekTS0fYMRgShJ2QwtxiS0dYf0YH3gZbVllqQUKmIc79a/zjmUd8xzjRCOR7MJm7ojlgmP9h+gbMcgLM0QEH4gizUP93f7kD/43R/yb/3bf/Pf+5PWhT8XHTgEpEGihkCiImprsduB1g5UVYcE3nnviH4ALwOxisAJquWGTCVMTlK2dY20kBcpvu1Ze4cfJCejiLwYcX65JjmIOJRj4srjeng11CAdUyUx0lD7DiMUWmvW5YYqxDwb9zyKJWaAZ13HdvCU65qTJGcUgdAJpupoIslJGnHb9AzrHeEqixwyStEyRli40R1daNEaAgop4OXlguWw5c4377NtG7ptgrdweHdON0jKF2fIKGZ9tiRNUtJIsbptUbOKi9evSSeag1lCtj9GqICMCl4/P2O4XqKPDkgnGVWn6K4X6A2odESzbVFB0Q4twWdkg+bKduxNcnRjeb6seDOPWIeGL1Y1j8Z7CO14kh9QoPj0qwse3B0zfnSP37r6gnf2x2xLi+hr0jjlbFGSyMAbBxkffn7Gi3XDu92Mk72Yc7/FrEE5TaE9YjKnoiNyjvsTzeE8xTSOTdkwCoZklNH3DZeVIh4bThLN7aJDoMmRlHWDV5JISaapoRW7lzPXdEgTM1Ypra1IYghBsLItvrEEC8QBIRNCIukqyybUiD7semla0PqGeiEwSYZSil5rTHC4ISJPYzoRMB4u2w5XbpDS8d7emKuzK5qypOuhCjtXl3CCdBaxWVaIIRApy/zujHq9pSkhSmPSI8XbT/a5WazoVyW+HUDthOGb2yUhSIJU4AeGtqV3CtXWKLNbuLUpmN8zmNry+1+85BffvcfeKOMnry85nOQcjidsVxvuzjMiND7aOU1ely33ZgVag1Garqsp4ogvyxKtI5wXnN8sOc5HJEdjHuRzrjcdQ+iZJRlmaHjv9A5DH0j8iKPxiMVqSbnt2bt7F7oNm6qj9oHgIjobOMwEXqTcyw2zfMKq7fAiMM0MBQonMpQLjA2sm4HBKrJ4AiowuJamM2itmWTQDAoFGOGYFiNGcUSsFZ8ulmxcoO89IjWoIPC2BhzCB/J4J4AXsUQT2NYdjR12pFDjafGoLOb66pqzsiJXilhHuCAZhGDbDlSDxQqLMwXzUYomYRRiQlDsTcaouicO4IKn3NbgLVYrch0ROYc1ijhT3Nz2JEozRI5iXjCUW1zbMqiEw2lMHhs2Xc+i9FB7WufIFLxzOOJbd/YZz8b871++YKwlUZQwuJr/8/aCIB2PjveItCLyCU7sesTKxSitwQekkkDHdgjoJGYvTUjunYKIeLVpaIaaWCacNyCtBx2oXSBqB8Y5ZEFgFEQomtYhpEdLgyQi0gFVCLSIuO0DexkU/k+X7///5/8ZIXYS4bgQrJeOJI9Ik4S+3mLSBAto7YiDwBOjg8EHiffN1+Q5gTQSawWpynAusO0c+3f2yCNBR0sfIjoqcu0pqw7PruMYaYOWAisGlBLYztNbSx5HJEXEuh1QsSIrNIVWbJYNd3KNSyx3uoS19eRaUVU9oq2JI4104KVgsV5QNh19qHhVbvnBl6+4qrZfX6b2HB6PUbFk2HZfI/81cRLTDYp46pGAD1BkGVJJNrdbht4zND2rZUPTeO7upWTzEeGiJD1IUIuY7uUGO/fEiQG3u4BzfndRd3C0T5Jr+taSjCPqZc2vvrHPb39+zjaCxarHRZ47b0744uqap1dbfvMXn/B7zqJGoD3cFTHvv3mMdIHfeXrFb3z3Mb33fHb2JV4OvLoc+M5797njA//zR6/59W895G988B7/5t/7Xfazgr9+eoLUGVd1yW1Z8ov7U6RK+FJeEhLFLJW8l0/Zqo7bpkO3DdMo5nEx5lm9YSUhmRqCErjBcaxi0thxU25hMLwzmqBTw7PyBfftiDSKeeN0j7kSfPH6nA8eHnDTdPzgxQW2g197+yGTLOULu+aysmSxYJYlfPsBXG4rjkXBtw4POd+0/OzqObNRwjfmU9xRwUc3LaXzjDPBPImIVc67D3K+/PI177+xT5HFXG8dth1Yb0uUiTGziMZuuV4vKeKISApqC4tyTWrGRJHg5J03djG5RHHwzYcYBWW7pdwu6eqUam0JdUvTXPDm996lP5xipOJmVXL54oxvfud9+r7liw9/ttNdjMf42YjqZkN9fsP4yQF370yJ5M5dGckCuCEaj5mezOgI1Ge31EjkNKWrV5SrBXsHh2yqkkyPOBjPwDlikzA4x2B7FmcvSWYT9o+PEAy8+uxzDk6PSEcTXpcXdGcbTp7cox1uSM2YEByjPKcvLb3bMjVT2r7k4cEjXIAXV18RH8xwfiDWOXVbUtZLhqajv+wR2QkkEygXEEVcfPYVwkQ7t1qeEWUVfVmRmCPWvePZzz5GqIyhLRllj7hdrJnvj0lMzHrTIxgwasB/3Y8OWoPQDEToCLwNxJnGdo4oNbSdZZQLehQCj7UQXL/bU/UVeTbCIbA2oNUuEeicIE4kQ98QEKAEiUkYmi2uGYhiRdC75IgPjl5FaGfxQuIJ2LbDIHn/8Ih/7XvfZno0w3vwbctkfx+x/z3of0T6R1+R2AjFgIkS0mJGB1SbJb3XHBSKuckxmWGzKbmqb4msxHk4msRsm5ZF1zMXEdd9jREeEyYMzhILjxMW6xO89JyVG/ZnOWmW8q13c1Rb8NOzC764XRGAAcXeKOLbT96g+/rA/ifNn4sXuH//7/zt7x+++4ChbXn+fEHTOdpqYNs3tLZHWUmkFSFI6q2luVlwfVtzcVXRdLtn2mKSMAmKsqqYasNsmrMpl8RIrjdbrhcbDnKN0SlRJGkDVENPLhWeiPPlitzEWDy9C5zMxiQm0HUtd9MxcSSQccSPP3/GsusoZinrqqVvBmajKb0JiGB3RLihR2iF8I60SNmUlk3Z8NFtyc9uLuiagd57rO1pu0DjPHunI3Su6ese53oO7uwT7MDZ6wXFbMLDuzO+8cYR8V5CV3VsN448j4hiQxFL1Djjqmwxo5y2qnn9ekkxNty7v0cIFpPs8sB704gkTbg7HvFyWyKdZ71pGEcxs/0pHy9v2ReWOE8ZROCDgz26tmG/yAgJfHyzREbw1mSOHzrunE5YrWo+vai4N52x0I7Pbjc8MDFXjWV8MCHR8Nn5LU/2Tyj0zrH2bLGh63uOJzEflRVR2CGuZ/GMSmg+uVpzkBtmESwGx8W2IXg4nRsu7A73H3sNWtDJQBwJWmtJhMG5nqG1TOIYI3ebZxQkIaEcLEkq6PsB4Xc30FFucEKwbjvyyZSJDtQIbl1grjXOQ5ADRijoBgbRoQP0osU2DuM0pRVYAfcfPODvf/RjfvbiFdYqVPAI79CxRoewKzD3LVIqDlTHbH+PXsL0cMI35jMKr7joB9p1A0IhpzEhjtBaIrRCjiRSQhAGEvB1jdaK7E5MvWxIVUK13aBjTeU9UmhsapgmEeNccDQpOJ7scbXdkKuUTdPwerPk5PCI/fT/Yu9NYq5N0/uu3z0985ne9z3v9L3fVHNVz+62aTuTgyEEQogQDkiwISsWgJRggsSuWYQED2QDkbJCCotIRAkJBEsOuBtD2zjtdrd7qK7qqq++qm985zM955nvgcUpIXaJd47U1/qsztHz3Oe+rv/1+41orKNvK2wIPLpe09Gw7SAbzXh4d0TTdpyMJ1wsKlSkyYuMpqk4GxcsqzWEATc4rhYrRKQ42n8Faa9Yr5YgI0ws2DYtd0YFsTB4q2hDYNmsiRPJnWgfKcAIz3ySUbd21xXVKeNixKqqsDicrRjrGKk1l7Zj2SmmSJI8JUs1rfVcVUusDYAnUZq2bBm6Ftt7Im04OT3Caskoy5hnETCw7jr6YQd+qBzcNB0Xi5LtuscIgVAKbz0dgnFsGIbd7qYWgSyKEVrgg0VpSSEMCrHTBaR6h/suHV3VM8nM/7fMfpimbOoWPTi6YUDhuNx09M1AJiTFtGAyShkXCWXb8uS24+Es44v3jvnc6RQZCX58s0AoybNViQwWlKIcIJKah9OMvndYEYiiHQGsc5Jt3xBpQeIlIXiU1HRtiwwOHWJGacqiaVhVHVpLet8j6AlSkEiJkoqu7cjyjHYYCH2H1rtpvVGCbuh3WgKlcXjqpiZTMS7W/O6v//ZPJnB/iPprv/IrXzv43EPqdc/6doMM0HSeuukYWsu2aumHnuA1xmuCcNyuSvp2wCkL1iGThKFqcINFSsB17KuIPsR07Za6F6QHCSKRRH7nP1VeorxnUzX0NjAMPXE6Ih1rEp1QrxvOtw0vti2zKOJqXfN/fP9DQDAqCj44v+ZyU3O+WHFZtqz7gZum5wfLJR9fb3hvveFJU/H9bcn7j19yeb3EdoG2degkQghBEu2e5yE4kjymd57tpmVUxPgA0kOcxRBgWzbU5RaUwVnH7eUtR0cz4iRCGU1T1qwXLXme4TpHkhUkewbpJfW2wXvJaKwJxhKcIk4lN49XPF03jA+njAvFzeWa+XTCw9M5z642YATbTcXRvQln84Lvf3KDI+LfeeOMp2WDFFA4SfCC0UkOSvHo/Wv+kz/1Gb754oYfvbwiEnKH/j8ccacoeHLb8VvvPuZgnLK/l/K9xwu+/eSK0zsT7hxP6OqB//u7z/jjbx8QKcNV2fL1D19gIkGa5Wg3cHd/BsJyu+nZ9h37eU4QjmroqBtHbhQHk5QfX1f01nGYGhKjebzccnc0Is9TnruG41GG8ZbOBs72C75zueV81XJvGpFHMc+bnkwovFcMMpCPIzIixmnEQTwm0Y73b29pe/j8/VO8gn7ZIYwgm2ieXG0oa8u6rbAahEqoyhak5f/64Ufs7e0jpMSFgJZqBw2LJWkeYUODsw6pHEi4uHpBGsXUHvrrl8gkY3JywvH+iMvNhtXWc/X+Y5CC0eGMartG7ic8fPiQKE9JtCFEGpIYVMq63WK7mjiKWZ9f4XvL/MExB2NDkWk23S2jUUaRT1EmYTw6IEjF+vaGtmo43D9ABE8IjmW7wacZ3brE1jVdqJlO9kmiBJOMON/eUj6+QRpFMsqQCKxtUCpGhB2JdjY7YBg6vOipmpc4IMv2WS2vcP1Au6qI8ymzfIKIe5qLCtoSdADhIQh0pEj3UrwL6HygmGnyyZzEGJYvXiC15M5br2F1zPxwgugdcaqpNw1NbfG2o6sq0iJnsAO261HsIt2D7amqGj9YXJAYCUiIsoTNzQYhNXG826tVSu5olTIm1gLnPM47XBAYqfAe+qFDeIXtPDLWCKHQyiIjTVfXDI0lTncT+nZo0FqhpcQ7OBoX/MI79zk6LciEIRrvEeSK3//xR3z36Xf4e//4h7x9dIcvPNyjJ6GzlrODIwbrqLot0lsi7xjtZQxdvaNrErFerxFoehmoHZRVS9vv/HTGs/PECtj0A0YbVk3PQRxhYkNnBefbko+eXYNw/Nwbd3j3RclMx3zpwSl9bzGZ4O///W/wS3/lP/8XYwIXQqAbesqyo+scUBHaDpMmBBnjxcCzD88xs4xuY6HrcFIiZGCQKeb8mutbyWg6ItiGEDSL2wV12XFtOyrb0VWWr7x2xjYIVgqmaY+II7qthUSzbC29LRllYDuHjmMWV1tm4wkX5ZrRoLlten744prD/UM+vKx4+uyCt04OeLHtmRuJnU1JI8l6kBzNI65XAtsq3ru8RKWep10NUoG3jKYjfG+hC6g44fvfeswrb9zn7r0DllXLtt5SbtZk0wOub26Yv3HEICrWZcd4f8aiXjGbzflj9w55vNrSt54oTqg2WxD5TmJcei62HWnviRXcOZpTuYEijjEmULmOwUmKQXCgE65vSiKtWK16nm1X/Pxn7+CiwFMsX7aCbQuvzve4N0n51qNLeq94/a5h6TyvHhY419P3lgfzgqtGUi7XfClWbLViNh3x6OIKEwmuZYdPBpKkYLNtGWnDQCCRYLstqQ9I7Ukiw9B4ZpFkMAP1tmHv9ISH1vNSNXxy2XKYFexnnk3XY7IU0XcMvYUk5rZ3TLXHKE2jd9LtwzSj6moGKaisYypBb3oSJVm3nn5UcesMy3rNeJTipSIJEt95+rjDRwll2+FVTxbH2Ghg30GSj7ltN3xwfs57z66wUjPIsJNTC1B9ixIGNew+G9zAl07u0/Q9+0nCMOx+ky07+qTrAzpLuXN/j73xGJPFfPDxJfX1BizoLEHkksFZhJbEakR0ZCnPN7Qby3RvxMH8gLYb2DeKrz444XT/lJeXz3m8WiHTnI9fLolVxyTe47bcEnuDoiVJChbrFetB4YaUSR5442zGca5xarQjOqWeg3xEP5ScjAuKOKHvJdIHBtlBFjOfjDi/+hGD70njHBkF6iZgMNyut3RB8HzZcjjKyHNoq5512bO1G7IoxviaUSrYtIHTKKcwgZuhIdKaugkk45hUpNyLCzoRuL68oVCOVTMw9JqmskR8qpIoG1o7gDI7Z41MyJMYi2U+itDBUg4BLWOsGmhChFeBbVOhBRTasK4aRirQWE3XNzglEC4wUQnCe1oRiJUEH2hrSxpDimAtA5nb0SCzSKFNSqQ12sfotEdZzyQV9G2gWdU0IuCDIXQSMkPTNHyy3jJNcnACIQa+9MoJp5OcxgU+2TQsyw1eaBAwzQumacTEWs6mE5YuUChFrAPrdY1ThlgPNJ1lta157fiAKgjoLAMBJzyt68giyWf297lYbGn6XeTbK4n2A1IFciMpLWzKmkpJRiLC9w4VKWrnUFgiZwheIJQkJuaybsncPx8i+Sf1/6/AetNz82KBdz2XLxcIoclzTdNbusaTj2JM5uk3DVqCFwovPNlWMz2aohuBDoq2HG0sHwAAIABJREFUbRn8wPay5sVHa5xQEDpMnnH39SNwjuDgZrFBDYp8FNh0mv6mwdmSrnEcHo2xXhCUwG9L/KTgH373iudPlvjO8eGTJSZ+D9v3TKYjlmWJlBqhNEkhCXL3rGhlSCYpg1W0HgavQVhMrglBoIxC5prMSPqNJQiJkZrJWLCuGtptz8M35/QdOBxOSZz1zKcR6+sFWZZyuygZn46Q2YjmcYlvLKPDgnq1RfmO0IH4lGo8HUX4T+PyaIUBFn3HeCN552HEZbBcpoLVskJZePjgkLqseffxLX/1Cz/D+2XFj9MKoQf+h2/+GD0yBAG//p2P+am37/DlV/Z5dr5m/96Ef/DtJywix2ffucv3L9bcrmt+5S/8DP/0+YJvfPAJL16u+ak3jnlQjPjN7gVRHvH5vX0OpOcftte8LJ9SA3Eiefpyy2pTsu3nvJlpNjLjphrIEByONB+VDUcIDrKUHzUt15sFxkju74/Qqaf3lquN5GyiebBX8L/+6Alfun/Mn394yvm24uVtTfCeuzpjv5AMLbxYD+QpnBYJH16UXKy2/EuvnvIz8wN+eLvlalEjdctBpvny2RHfe3HNBy9u+Om37vBRPyBcT1lLEBHboUUERx4naDyLoSNpUo4PDuhdQwgxN+U1k2RGt9hgMk0hRqTpmGc319Qf3RDNcoo05mB2RD4OXKcJY6WY5AlPnl5yeXFJNCo4/uwbJJHk2UeXSCzzh3M8jrpfokgp0hQZaequJlM5sywDKdncbImymDSVGO3pbMPrD+7hQqDue27Lmu3TC4qzCcX0gOPxjHJ9xWi8j8VR1hXjdJ/s/ilJokEGYmkoZjMQsLQgteTo7hlREhN6SxrnDL5FB5BKU63PETJBEOHFHBUMkRAcn57iidm0FmUdoJikh7Sf2aN6/2OiNGXv9XvcfnzB3iSnci37ByP2Tw5wztHULSAYTwpG831cV+HaFXHykLOHGZXrePfiAommD92nXmZJL8AQiEcJ5apCCkO3qUj2xpSbLbSWdLbzoRolQPeEkKKVQRhNIsZ463Be7GL8CGQsGTqPCx6hE6QU2E1HGHqkFPStx1UdoDFRQElDnCmqqsXWDdJESGF45+yY9z9ZMItTPvuzR0TS8v88fs7/9DtPefT0lr/0x77CZx7ucVH19F1PmnkWdo3rKpoGUqNY1BWXL655MBkz846icHzH7qB7eS7pG8ijhL4T7MUxhdTcDhbslv0opup7nDRsmoEieOIkpQgRbVPz+OkNy96iCNwbp9wZa25bvbug+38+NskfiQncX/9vf/Vrb371bVYl4HvyJCZKU4yEeDJmPMuo1i1BB0SsGJTHBIvIEvJRSpIkHGQGExu2y5b5fMqPP3qO7xxlPdC3AxrB7HTCstxSbwO96xkVgqtlyfPzBbYdmMxmtE2H14Jn5ysuthV1X7PRgh/cbPjeJ5esVhVt37NclVilaIXhWx9+xM2yZl4kLJuBTkNVNfzWB0/44MUFfdLQeEeURbTWE8Upo0lCbCT7o5jToylPLm7w3nH37j5dMxBHKU3rcOWuW3M8HXHvZMrHT5fc1I4oBD5//4g3Tsa8e7Xm8mbF0emMSPYo4fHI3e7cesXTRysO4wn/+mdO8UPJi03J07Ji4QI/f/eUdrB8smpJhedzezO+fX3Bw1lKbjIq63n73iH/5IcvcMPA5x+c8Mn6Fmc8r53dwW9bvvzGIavO8u7Vgp8+Lfi5g0NusRykBR9db1DK8KVXD/nf3/2E1ATuZgkqBEyiWTc9x2mO8wKdRAyuJ/eaSRqxrLdcDoKxjpjm0KUpL55dMxoV5EKz6La0VpEZw2bjQID0CpVG4DqCtGyspEASCYNMAXrW/YDxmlES0ciIcluTRAKtc7SxIAS69dSuYzCaVAW00ARviT2YoHaC9zgDL/CRIFOO4yTj/e2Wb3/wAhUgyABeMbgeIzSDNwitSAzoWLF9vmBddxwmY2aJoewaimLE4/MbRByItedf/sJnefNgj/0k4rIaqDYdg3IEBvIkY+gd9D3TaYqJEpbnN/jOoaYxRlqa4Dg52eNnH77CcuH54OY5zgYcmmVb09VLni4afurhEc+XS8pqg1OS8+WGR9dLDPD23Sn34oQQPLZvUTLGDh1HWcIkz0jTFNEPnG8HLAGVKtK0YBLB9XrJ8eSIyXjEMJRc1j37xSFDd00pLLfWIxNDIgS9d9QEYiUYbI/2HdMkYjrdB9kD0IdAEgle1C2RytBxQq7ZKSiCx4ctN4NkuVlSbiuUmeCcYLkuCVHACEEkIvpmzWdff437B2N8t6POCWIEjtu2QinJ2lnKyjHYljA40iTF9R1SC8q6IwRJJhV749EOr55EHI/zXdzNCOpuQHhwMlB3lmB7IqPRqWCxaei6BqMgdJZWRCzrBrwnj2NECHTbiqQYU7Vb2tbR0jIEx93xiIP9nJu25pN1h+sdiYlo7cB+POLN6YhRZlB612F3zmODZPCBkSnwCjy73ajYgw27P3B9CHTCorWhqXuasiIzhnGiebHZ6Q1qseuOaiVRJkMKj3QwySP6SJEIwaABF0ikIrgBLQIyDWRKYKQhuJ5vf/33fjKB+0PUX/vl/+ZrydkBIk6wzqHcjiDqbEClmiLW5PMJcazZbLfYzjI/O8T1A+vlQJQZppMM2VuEEFxf1GzbnlXXUA8O5zzbxhInakc+fXaNc4HJXsxm67i5KNluK/q+I1hJue1YLFpSrdFpjBVQVTWrssPbFhcEy80GMkNvJJfXHU1TEoJgspeRZgn94PAa4jjZqS5ig/cDQkFaxAghyEcJvrN47yjrns2iRptAsZ8R6xipA1ESoSPF8mpDU8LdswPmrx3y9IMLhPH07UCsJFEW4ZoOFSuGpiUgyUa76fTqpkRLhUhTZLT7I6lNoG8tPYooVVw+2zBYx+HplMvzksOx5qt3Dlg6y1YMfPSy4c405wsPD/hkXfJiseHnXz3koh9I91OkVXzz3U84PRzxpXuH/M6PnnMQab5wuM+jqsJ2A1+eHyJGMT9YLZjvTTAu4n/7/iPmJ2O+cnZIWVneu9xgCfRR4Paq5mZtUaOEyV5EERsubwbeOR3TCUvfeYKQPC9rBqUogCTWqDznattysx34/HzGtvO8WKyZpilFFPFh05ILi7KG+bhAGcW6teDgzYOUcZzw3uWCddlwNkk5bzbkmSFTmg7BXqr50fktF6ueoogJwTEfRXzn2RV/8p2vUHclXjoWq5bEKMSnygYGR9VbgvOUw8APnv3wU29kSqRivLAkWcLh3niXLgnQDCVHdx+gsxGRzLA4BIFxmnD+7CnVdkMtU45OTziYjSgySZ5EnD+7QBcTiiL5dLKT4vuBrW9pqoZxNt01djdLbm+uifcPcesNe0dzYq2pmoY0jnd7e13H7ZMrfN3iBkmz2ZBOp+TFBK0jLm9f0jvwdChgkqbERlMNPZvNc4p8RhHHFFNNpDXDcMNeOmU229tNe/qGtl9glaXtOoITCKmoug1KpmilWdUVQhjGcYSXO4fyXlqwrtekUcaoiCmXtzAMNM2WQipG0xHr6+fUXYNAsry+ZTwfI1XM7bNLXnv7HrNRRtk76rpj6FscgixJINolxoJS+BAQ1n/quDOISKGwTMaj3aWvH0iLDBkkUknsECAMSAFS7VJvWim8AB88Wku0dDu+gTCYCIKJUFKgoxilBCaR6NTgrEUIxdAOu3M6ijge5fyPf+nP8dMP7vPF+4dM5iOCrvm7v/Ee//HPfYl/9bN3GXLBh9crTGxYlitq7+l7w8WmorUt3vW0zhBsT20HvNmtTRxNE57fVKSxphssXWfJsgjvPbNckSpD2Q8opZjEu3cjQeJ9ILGBcWHoCHS95WrdUXUdaRpzVVcsuoYfPb/g29/8Pv/FL/3Vf+YE7o8EhXJychD+tf/038PHgtWmom8lna8RUjIaFUgh2ax7zs4m9EHQtzXtsiPNMkKwbK4rltVAEANhEExPRkz2x3jv2CxrqmWFSRNiHJESLLY97aLm+HjGqio5PD2h7hpc00CkURj6rqFpW2Z5hveC/ZMZQ5Lwwbfe49V7c/QoYrmqmc0yXl7WuK7l86+fcOdwgnTQDg3/5DvnvHn/kCH0CO8wSY6JI86fXxGNJUMjiUygyDO+894jVjcN84MZ0TTh9HTCZDph8XRFZBz35wUfX28IJkNqyC9b6hA4vJ/zrNoibEBnBhsMdluxvm7ovSY7ithc3BJWjp/53H3iUc7lcsPP3rnD//yjR/zcOObB2RkdJb/1yZL1suU/+GOf4/31gtRLjpMcrOXs3pTf+OAa2bT83MMTjmYRH69uqReGH17c8Cde2UOMc77xB+9zmGccZxn9KGZPKT746CmPNh3//k+9ycfrkstVw1hLxsEQDCRCsaZBmpgEQ71YkmYpUR5zHQLPrxeYznM6jllFkqbsCR3cnxfEEbwoV4RtYOsFeZ4TBUUdPPiWaZpxvt4QqZgIRaYNt/UaFcVYY9D9QBEL1k6QBsXEDbhCkxQRXa/w9Zb9dLQTPwdDO7SUruLO3ox1E5iKgb10hPYQz3I+2ZZ87+qaH1+d07UCEac4a8msxRnJYBUi0cjBMe0rbjYbbi6fc3J8xCTZkdRuFlsmScHhwYjegg9LNtvA8f7BjrKkPbfLlqvymn7RcefeMddXJU3jEJGgrSv+4p/7CvvpBKthriR/9rNvk5Dwa//4/+TsYMzxXrSLrrQVgxX84pe/yJPrC/p+9/K8CRHtsGWzWSOEZKw1T663ZHFBLFtmRcKD4wOeLztsXyKSmMM4RnoIOuPy9pqPViU//+ZbbKrtjupVrdBRhgyCURRTbzd0tma2P2eSjmiqDRdlRZErxvmUdlMhU8PRbM5iscDVjjxL+fD6Ga2KkQSOioL5eIRyHQtrOV/c8vHihvO6wVvB7aYihEBd98xmGb51nD+7xmvDX/y3f5774wmJdCzajmc3G5QPlAT+6aOX7BcZSZqgIoFwYGTgfFnS9gGN5P58xuHRlIKBZ7cVKEmeaELwGBRxEmF7x6raUFnB0SjDGEXlIAuezbYlSiN6GWiqiuVmYDqKmRUZvre0QrLZdmy7FuE91iv+rXcecjqL+Affe4zQirtHMySC3jqO0ojjvSkESR4cg/l0973rsVIRa0mW5MxSidIKUTu6oElSWNsGnCBXhhAGghA0QlM1HdL1xFbwuK55vtrQCUcQgkTEGLXTSXjpKYxmaAJZonexZdTuguosAY9rPSZKsdLyt/7L/+4nFMo/RKWHs3D6Z/8UOgpoHbG53u2iEAAtMalif1ogo5i6LNHCoGxgdjKibtqd37Dpcc7T9Z4H9w/ZbtfYemC5bGhai0Jx/40TNtuSsUkYH+SQBD55/4J22yIigxtg8AE9dMgkITGae5895vzjW7SAxe2Wo+M5267BNZaTkxl26Hl5vaarLFEUMxpr0nHCarnl5nzD6dk+hw9nVLcdSa6ITEa12GCdBS1RkcQPAYnDWc/5syWHd2Zk85zl1RotYw7mU4g6msrTrnpOX9/jN//RD4gUxEnM/LQgyxOE0gjbU/cWqTVFJGk9XF5UZEXE3swQxRB6iZWS5aLi33jjPr/z8orlumbxfInt4d/9M1/gG+9/zFBa7sz3OCkStrnmu9/6mPE45T/8hc/w1uExf+Pr3+IrkzGXg2OF45Ui57d//AjhNO+8MecHj6/54p05BM3W9NQbWN4u+fOffYXZYc7f+u3vYcuWv/wLPwPG8Xd+9zGR9vzCGw+4UxT87d/7IWd5TlMFchnB2BJ6Txg896f73DkeMwwtQjj+lw+eMzMZrx8kZJGmDpLBgWsH7ucxUQJff77k9rrk33zrhHfrgWfLLV/an3I3LxhNNd9+suCD81u+/MqcgyLGB09ZW/aLgtyA9Y5lHVjVltOZRkrBb7z7gi/ePdjRjwfBprPUzvPO2SG9rVlVW5xXFJFkCKCMJASJ6wL/6Ae/Tzs4RNBsqivSbB/tIYkiqramrZdMp3d2/AKdUFc7mqEPgbK54SidkMYJnYVtu8H3C9IYfBjjKIgihafD+5JmqJlP7yG8IAhQ0iDELnlQDZbVpqFzJXZTEcUw2ztE2B6lUqpmw9D2FJMZsU54/PFThsYTmh7aGn1U8Nrbb5JojQ+OdbkAJEJHjLRBGkUIHrBIZRBBErqGob2FNCWOix35UcToOKPvap7fPCXPDxEqwjmJ9T3r8oKDyTFKR5RNy34SoYBqGHjy3R9TJCn33nqDTx494dW3X2HTLMjjnOWyRNqIbJIwuBYvFFfnL3jjM2/z2smMO7OUb3z/BefnWwQWy4BygsnRhM4FtA4EBKEfAIEQniRNcYPFBZASrINqtaUYpwgjsL1FSo1SCTY4RLD4IBHI3ffAjjVTblqiKGXYbkjGE6S2aK2RKPquxYdAcI5YJuyPx/zpB3f5r37xX8EcaISPuVo/4+9+/XtcvFzx2p0jTu9MqL3DN4F11dArOCpGFEpSOw+JQbUDnevZzzK23mFkRFd3DMFzfz6hbloIhkcXV7xY3e40IFFEFwa2tadxA146jINJkSJdIM9T2qGn6jyHowil1a653NbkJibWEX1TomTEf/83/w4Xzy/+xaBQ/vLf/LWvvfrVdzgc72Gloms6ei/QBPI4ZTTN0Tj6riNIQ6oNe+OCTdexWDaECIpJQToShLZjNJ5y/2if8TjDBcd4MuJ0nhNlKXm8657fXK0hNiS5wTaO/ZM9IhOjNGgVGE2mKBOzXpcEK9BJzPzkgGHdEo92Lxi76phOM5KDCYcJxF7w6PElzz6+plEZfrvEW8cgLKIPCG3ICk1jO25uOwozIExAxCl74xllU6OKKbmRCCXIZlBZjRp2NJ3FdsM41dwdj0gEXHZLmkHsXFQHB1yuG9za4tsG23TITKAzTRYLIqEJIsJEEjv0BAIfn98wn4/oB4drLHH+6Y5SaTmbpKRx4DvnN7x+tE9AMM8kX33jLk/WWz5+WfPZsyN+88UzDqcpUxGzaDtevTNinE9572bNl2cTzrserw334phHi5LX7h6wXLVcXi6ofOD+bJ9nvmESx4y1IlIRvRRcG0XuB+pesvG7fPvDgwlJ53g29Nz0HaejdOez05rLrWcYWsaRpsPRWIlktzsWcAwIWu8QdDhhqZ1Ce0k7CGyoUEIyBIkRksF0WBnR9R2DDWSpoR56HA4V7+AByg0YETOIwLquqaMYoxSFDrw536dWgZu6w7cBJSW923kyVcTuwVaekyjBRB7vJRMTM5QVbdMxPxwRScvNJiBVIN0vcEpzrAomeca2rndi6t6xrRte+dwZy8qxWa6xfcOrr99jmkTMkwlvzHImSnJ2+IAkNyzLJTPl6ZuW86pnkk2xVcf+ZEzbDbz3/IrragXasmkqlouG48kUIT2LtmdZNyyblnE+4mpZ8bysiEVEqmOqXvC8vKFrPT4yHI5iJnHKquvQChAKR+DFpuJoash02O2KpZJ9neAwZNMcawfkUJHEBhNibHDcbkpiaamtY63gbDbFeoVRE6JgyY1koMFqi1cpXSeoqp6mG9Bakuc5xWRK63o2ZUmaGT7/4AHzIqfqLJ2XSKNoBsu6rLncNhRJQmQ0w9CzLFuC3mlKImm5czBiMtrRcG0IlFWD1Z6gNGXtqbYtwgqstCAitA84KVDC0zYWh6YVAaU8hcwZJRGDE5Rlh8Pi0eTe4DNNNwRyFXN6MObgzoRlN9B1nlgJ7ODZDo6jIuGwiJFAUB4hBVUnSJKYZd2ybgODhN4FMkD1A+3uCkDoHT54hBA4qwl2wHoYy5hCKvquw+QapSMqG+itI0bhvMV6SJRCxgrjBeMopleByKTQBZbWE4uAHKAMktZ7Imn4va//hEL5h6m/8Wu/8rXX/8Tn0UoTRzFSOVRqSEcJWabQJmJyUOx0L7MZWZ7Q+55q2+AdeDcwuB20w0mYHR5ilKBpO4bBEycx+V7MaCQRAere4gePMJrpeEIgkI9yRKyIU4WJY0KQ7M2nFKOMYAVpEhFnMdcvLzmaTxntFcS5hCSmWlVkqWG8lxDrQJ6NiSLNdlPT1z1ZbHYXtcajE4m1HustMttRVJ13WCmwaJp+QKWKONa4biCPDfnxiGcf3dB1FhNLCAPLi5oiEaRZSjGZMsoTmnbAxIIQoHMeN3jiOMVai4w1iZGoKCYowbB11FXDG7Mpr93Zo/dwsx0QMmJd90wOctIi48MPL+iAt04P+PH1glfuTsmtYaodR0cZf+8bH7A/y/nFLzzgRdXyyXKFiVO+cm+fvXmB6xV/8PELvnh4xJNthZCaF+s1Fzctb55N+PzZCU3VkynF8X7K2XyPzCuGfuCLr864LVu+9f45PR1/+vU7lPR8+3tPaJXni0f7eCXZ1o6jwjBJFJGI6IaOIjJMkoin65pIyJ2UepoxLQwvV467heaNgwM+WpT84OUV83zMTWiRWnJsNHVrkSoiU/Dey4rjSYQ2kn5wfPfZFfeKBBNrRkVEnhhkC71waGm4qkouy5qTWU6uNUFKausYRSnaWkJweAwfXr1AS42WiiTOCZ861KyweAStC2y7jqorSZShawa01CgFqc7RSuNEoB96xkXBJB+TxWPiOCUoQ2404ywlizKyKMOHgFYghKTzjn7Yod+brqGyPc2LW/aPxxRFhJYaO2Q8+/Axe0d32Jvs03UtaRyzbrckU43eH2HGO4qpDYZdxyUgRUQaJyRa4n2HEILN5ilOaWrr+OA777NuKvaPjoji3YRQogh+R4H2ziGlII0yunZF4yWNhbPpEUUc0TmLUZpCC4w2dNWWyTRlMh8howiSCIlgs1jSe7h+cYnJE/Iipi6XLF5ecnz3mL39AzIjCCIgvKJel1Q24AaJA+JCI4Ok7wIheETwSBUTJQaBwIWAc5qh60jSBKk1ITgkkijO8MPw6VZRQAqPQWKdQxqBVpoASKlIkh28KE4MHk9dtoggSGKDMhqFZGpi/spXv8Jf/o/+Amo8xjdbqu6av/3rv8/qumI+mTA/OmDbVrSDQRnFKNMMzhIpiQsDrRLYpiPXAh3taPiCCClgEAblHdZ4ZnHMtIiRRrHadHQeIgmNdSRG0tieTKScjEe8rBqOpgVtN7DpHJuhZe0GEplSe0vXtbSdw+sIJQNCeH7/d7/PL/1n/+wJ3B+JC9xf/9Vf+dr8nbdg27B/esB8PoHBQR8oq5a6amirntV1SbVo0ErilKa8XBKPMvaODthcrzAdVMHQbjvKRUMx2nXXZG0xfc9ysSLVmk4GrBu49+CE0cGYsqwY6oG+7ei2FXXreOXeAa6ucdaxXLZsNi1nhyOuh47IpPi+5vyi3EUwNi1Xz6/YDo5NL7je1KzLNZsGFtdrVuuaqhkotx0hiUhHEkwgiWPyvYQ0CLZWcvPyFlfWxHtjUhPTbCqun20ZjwXFfI/JaMIwOJzT3G62rIPj+fmavU4yThNaIxBC0fuW2MQkUaBZW25XHaFTXNYrFtc1+Sjl0m+Zx7udhOfbjgjFW4cZRBEi9Lw+mzIj52Q+ZhF6fvSi5E++coc2tLz38or7exlNHXj7lX1uy55vPrni4WTMz94/5XvLa/aThKdPb/loseHsaMTaB1a3S9LGUmlBPssxjWU5OI4mCe3guV63dH3HK5OUhl0XzPbwYJQyjWMGdiqGVCqEgpu25bYMIBQhE3SD24kqP42wJTLGiIAzmkwbCiweSSQzvLLEErZ1i+gdRZxhNFRtxVGeo70itDXGaAahSCKNTCLyRDOXhsWwZZ7vEbymGhxNGIisJEphnKTcG03pvOTZukR5i9cK6wI69ORZhB0C8fqWYi/HdWI3KSkMeRFjiXYTkGbLKEuZzKbkRpEHSWCgDQ4RHF4IRkVKXwjiJKGqGvZnYx4c7vHaeEzZe0TVEJuE4709ys2W8uqWj5drfvvlOU82t9TLBqsUV9trnt+0fHizQqcxWgkuVxUqjjia7BNLwSjVFHlBLix98DytSvrK0XWBy82Ktd3S9C03VcmsGLHtWsp6gKHh4+sFz7c1WkOsNAexpNibcF23KKVxkUETOJ3NGBlFEmcINJfLNZGEQUqMNniTc5RmnOURt90avGIvj4niiMZ6Ouu5KhueLW/Ybjr6YUBoCXIX0VHRQN/Dnbt3eOvuEbbuWfgBYyRmCCzalmfrLderLVIrvHREXiHSiCACWZYwTjRa7FyVfRdIlADnaUqHETBJE3wHXgW8EGR5BAGMlIzihE7COBZ0dUvjLNooTLJTSYhhQAyKwijaKBDKlqk2/NTZMeleyqObW2xj6ZxA7MwTEAlmUjHKYkJkqDuPGCx5pGi7FhVrrA04AduhZds0pHlMkAajIGKHq+4Hj9DgBouQEgTERpHkKbEXZAIE4JFUbY9T7KKUSOQQUEqgpcdj2PYtQUjiSNATMBKCSQkSrBv4g2/8JEL5h6n/+ld/+WvHX3ybuEioqh6lIU1iitgQJRFRpFFCgBCYUY73oNSOrCgiRdcPOO+IYk1uNLPDKV3TIBE47zBGEqcJ6SxBokhTRZAS7zzB72AeQgWUFCgjidIEowRxItBBEoTHDw4TKawUhBBIY0Xfe4Zth0kj4jQmMRohNQKIU8H6uibKcuJU0VtP7yxGSTrf45wgjxOqusFEBtd6Vjdb8klCFBlsP1DMMnzvaQfIIsVmVdG3FtvB8fGY4mCE9QN5HIhyRdtAHwRD8BSRpm4HsomGwWFMYKh7GHZ7dL1zNN2u+fH2ZMIrhzOu8GgTKK9W/PTZGWQp2zCQxRLnAp9745Dj6ZhvfPcJ+XjMHz8+5pu3l5yMcn7//UtODgvunexzXZZ8bn7C2Gue244oCtRlx8FRzuuzjEc3DY0b+DMP7/LW/ICXq4pF1aEGCYPHhR7pAze3PS+2JZVo2ZtMsH2g7S0rMfDgdA8dHJHRNFqRO4Fkdz62bU8fBLGUjIxY+D9CAAAgAElEQVTm8eWSFs1hljEbp3y0qJmikDogI480KS+v1vz0vT0yo1lWHd+7XLGXjpinhnc3G8ZCMQwAgtk04d0na/aSiDePD/BS8MliiQmCURpxMDYsqorrTcfheEqkBAKJcAMWmEQJUar43Ue/QxofoEyEUYq6Kbmp1pTbBbPxnCROuL15wWR0hJYRZXtDrMxOZeKhHyqiT0FV3VCTRBmBXSPr2Ysn2K4li2KiKKFuem42L8myCVIpWusY+p7BgccghUKEmtn0CC0NeHj2yTlylBMliuvrZ+zP9snSlHX1gr1Rxmx0wKjYxX0b3xN8g5DyU/LvLubY9R1CtMRRhlIpi7Ik5BnB1RzO7yCEgbCbBN7enjPK97EOnNc4PzDOZ5RdT64jlNqpGFzwaKVIPoX/hU4wGs9Axzz60Qckk5xuWzKfH2NtYL1Yc/fVM4wKDMNA17Uo35IdHDFLFFUreOdkRpaN6XWgLlscnqEZEEohtCC4gHd+t+8cGbqmou0teZwT1E5jEpxD6BghAnZwWN+D0EjC7mzoht0Z0+yaAzLekZJ3xMoBy4Bt7C7NIRU9llz/v+y9WaytaX7e9Xunb1zjXns6c51Tc3V19eCGbjuxO8aOY6MEgiDKdSSUS99EJhJCoi8wKDZOnAuQkLhAiBsQQgKhoMQQt7Fxd2P3UNVdXV1Vp6rOvM8e1/wN78jFOuY6fRdL/V7uy7W/9a33/3+e5/doXhrt8Q++/jX+g1/9Mj42bOdPOLs847//l+/RrhxFrqmynC0eU2TIF2AZQSIJyFRBbQqS0GgiQQtymSEKw6ioOF/NabxjYBSIAoSjlxmVKrg9Lci14JOLOc56ZNoBVISIbHsHJLbWMhnku548oQgedOqpTIEArO2xMUCMaCP5sz99l9/6yzLA/d7v/943vvzVt2lURqk1wzxCELgo0Jmm0BmVlpRFTVHuLhHWC8Yi0UvJ4mJN6HqGmWY2GiJzhcwgqUSNZAKI5Pj0ZEUMgbIaUdUlRkqcAN9bMgHTYcZgOGSTLH4bcest5Ujhy5qULJvWMSglmbe4sCvQFQIeP15ig8NmJTLP6VzLatMzGhXUs5KkFNO9AaWRZDpw0XqkjdjWE3XOcr4hRdi2K4om8OqtGZkG5RO6hGxQsl42XK5XzILkazeOiKlHKsGb16dMs5okcxohOZmv2W7mtF6xWlq28znNSSDiMUXi7NGctVdM94b0m8Dt2QgbAqNiwERX3Dsc8uH5nA9Pltw62uO1/T0+fn7GO8czVB9Zzze89dIBH1+uuX9ywq+//AptsIRcMomKDx9d8dq44k9PVjyZd9wbZ6yvNqxNoGo7vvPoAl3UVGPDs35NzBW3soxlcFw2LZk2RGnwPvJsvWQyzAgxUJY5n3YtIhiqPAMZWXpL5wIpSV492MPkimbb7fC+UeBjR64CPgg6LyiHFQZe2CNgHROq0CiV0XlLUSiC7bFdpE2SIodBvsP/KrfrG1z0LYGEc4ZkexQepXOqTO761goNvWUIvDIa4Qc5z5uOGB0qJFxMKA9J5RwNEsflIV1MrLqGXEq2feRgnJNNZthoUUIyGhVIbShkoqNn1a14crravYBMyWGZszy/xOjdpkhGy8F0hsgV3llmuUEFWLcdjxfPmbdgC8Xt2R7CeSyax+cnLJxFCkleZowHA1SmuTaZcXdcYlJAShgWGTYqlDFkRtK5QJ0btPbM6pJxPUUiscFzttywjLD1lk27ZW88YloUyBTprCXayEgaRmVJ1yaGmcT3lkrvshSrZokyJevtFVvvKYRkmO8QxM56OrtkVAomw5Ln7YrzzZZlG3l+teHh6YLLiwVZlVHWitlgjzZ4JpMBXW8xEl69fo1WJFaNZVAViCRY+J5V57iaL4BI34MNESkiq2ZLlmnKMsMlzeV8TU2iQ2OUQEpFJwSIiA6JwaQg05pMBmKSDIrd/tW2kUBCm4LJIKNpOjIjCCLhY2BSFUxHBav1htBL/srrNxiNMj48nbPYWgieQoDVApTiqMgwWlNmBucD0UWaJHACSq0pIoRM4nzA+0ibAgvvqExJFT0BsDHReU8uFSqBSxmN67AyYkqFcIqls5zKSEg9RYAUQBlF7x1KRJQUdEFTa8PWB5xzVMJRZBqXPAJNlsCayLv/588GuJ/m/Pbv/s43xm/dQ0WBFBEhDSIGYlJEITAZdE1Haz1usyU5i7UOFIgkQO66lqTYld7OxhkhEwTrMFlGlAkbHUVZ4DpPShI9LlApsNluIUb6LoF0EHcFu8J7er+jyQkE2mhEaWjXlhgF7kV/03rdEkNCyJ2iFyRs2pYs06zXLaZS5IWGBEWpUZmh7XtUpfAJXJdQLy6iXR9IKlHmGWVRkFWKZmMJoUcA/faF8jDMCEaASKQg0VKBVAS1s1sJEiruOqa6TUNeGWRMrBuPw1FWBUjBetOihzkfPFvw1sGYr9w74KTtuFxaPv3skuk44xffuY1DEjrHL127xafbLbZMWB/55+8+5j/8jbf4s4dLztsFb00nSK8RleeP33vAybLhNz53nWlZ8q0HJ7wyGHFuPVSSl8cDfnD/KUkY3jyqebJt+Gd/dp8mJr58ex+hBP/D//U+9WjIr75zm8xovvP+p7xxa4/P3z6g0gXPlg3WeepMY6VkZBLbBD0gfKJQCiE8T5sWY3LWrcMQqHLFx1cbjIBJnjGrNQ+3a47KAZMq53HfkamATpKLheNzt0Y8mi9479kZh9MhdwdDfrI6Z69QCK+QMjLMDc7uFgo3yoraaJ6tW2yzs18P6xE+y6lVYpAbRqOaHz7f4p0jBkv0nrY9Q0qNNDmKDIDhcG+nhnlPXU8QSpOSZ9mfsd0smI32UEoREHzy5EMcligz1suO9eWKi4tzLi4vEWXFdHKMi4EEKARJJYTMKDO9+y0eT4GEtw3eJ3zhOdw/Yr26wLqOw70jIJGXA4QsyF6ApVzaYrSiKkfEEFAScmWYNwtIHaPBhLwaIoTGyJy6Nkyne6ybSz783n3qcYlRBR//6CHloEYYSWOvqIox54sLxvWQSmuETGz7FbY7Z1wNAc2q7Xj66WO0GHF2ekrfdhgXMLliPZ+TUexK7oc1UipOHp4w3puSD4eMRyPKTLJIDqUkf+P1ezSuo0k9oREv8tWRlASEXYabTBNdoPcRYR1CJspBRQpiV12T3G5RIxQSTYhh19vaelSuUZncqYQCvLM4B8E2SKnpli3+RcdltBGjDRmCr966wW/++1+H2Qi3usJtHP/dN7+HCYrZsGY8HGF14HC4qxlK3iKTYWE76rJAe8uoLneKaNhZ/S0968WWZdfRJ9DR4YDetlxtGkyuGVeK8XBAvTfgvY/OyFQiqR0FOJOakAR98KQkaHrLQCdSEDTJ0YREbTSTOsOlhCSSosEH+MF3/tUycP9aDHD/5J/+3jf+7X/3l3nr+hGtiMwXKzZbwbztGVcKUSRuZjWj0YiBASUtE52xcZa7s0N89GijGe8P0EKxPy7IRGAcNVJLnjc9fTBEJYhKsj/KqIoaoyS6cxzv7TOqS14azCgVuOQ5rkfkaKo6R2SKwXTA2ntKKxkNKnSWITQQI1ImdGmYLxrOr+b0PiesPcfXB2TGUBqFykucAR0FzdqRekh5zXK5QiKpSrNrrc8yZoOSzAwoS8GgNEg8y1VL4SR/9cY+eV0hfOSV2Yy/cfeYuoDH84aL/hK7sAgtUSYnlSWV1mg8ZpCRKZDG4xxIITjfbPjrr99gojOWrqPSib3BiLu3ppxsF1xcbjmfb1AoFusNn15tmQ4HTIoRdR353LUZ37v/nLePb3A0yfjfPnvCqMq4Lg3yIOd6ZXh+suSj52tePp6ywOLVbuDIbeDO0YiBErz7ySlTU3BnNsRpTUgO63cPd1QFAyLt1pEZSRklKib6pmeUl5Sl3pHKuoAIEVVkXK0SJjkqFTgo650Fx/X4PGcgPW1M0HfkagdjsMmRmZrldkmVZayDZR4jKWowkm272dnY6gEqut02znb0zlJi6DKBVpHGd9wYDFBKsgoSkRxvHAyYq56Ti93LRtcVOEffOv72269xcnFKNS5Y9y2nFy2bGHjt1hGiMNwoSm5PZ9gkyDDMBkMuEHTBs73YQpTUoxrWDdt1QKgS229p1i3VYYURhtLAQMH+3owQe9ad5KqxjAYC4QU3Z/vsDSs2WrE/HjAoAtf3hxwNhwzKiutlibAWrxWu3fBs2WFkwKlAKTKcaxmVmqEuWQbFjERnHZNRSQxwOBwgi5zZwPDSaMR269Eq4VWG3UaKQUUWAqlJND7wbNWw3XrONiuUF3RtoI0Rke2jw5pn8zmr1rOOO9uF0BWbbY/PMlbtFatWs3RLeu/YXq7Iy4L9gymZKVg3DWfLDud6jCw4mE4pjGegDPtVzWQ84Hw1Z910bKJABpgoTdv3LNYdMVkKDEYJlqs1/bYlZDkKickMRS4phaJpe2bjinnnMEBIiboyRGVYBiiCYB0CuZLEzmOJaKFo2i3LbUutDc4J8kLx116+xc1rA95/dsKDkysOBwVdUvjGswmeA13w2uGMQiuWqwYRoTOBvrF4IskH1l2ii4GCxNpHokskZ+kALeWuEkAkeuUQXtB7i2MHQjIh0Lc9ThecthsuF0vaBPvjEbNc7aw9StF7zcbv7G9TrRgWOSk4fBQIs7v8eCyFUEgl+fM/+M7PBrif4vz2f/k735i+/RreOpRRdNbtimz1juC8+zHyaFkQUwChidFjVLbrgRMJoRUIUDGRrCeZHXzAe4/MFEkIVBD4aHEusOtPCUijKPMKrQR9HxFKYJ1nb1BT1xk+BZKLqFwgclgvOyaTClMYfJdAs7N8GYkWCikFMjNIIXAv8jFlYUBpqHb9qAB5UYEUBL8j0PXWkxAYoyjKnL5vkU6TK4VPlk3T0jWB0V6JkIreeWQfyXNDHzXlUJFkpFm3dBu/uwQScL1HFjUxRJRSO7fDvma7tuAjmchIRvDpxYIvjaa8efeA7z29wAlHrQztClSlOZ+v+PYnz3nr+IhffPmAHz05o4kNh2LEoJLcPRjwp58+5dHVmr/381/gTz57ys3JkPWVRQiJHUX+/LsPMVXGr98+4lmz5qPzS2ZVwXQ44rxd8/HFJW9fO+BaWbD2gk/aBT9/54B9VdIHywdXc27kA/JOEKXCCYdwElJgXGj6BINMUucamRzLFvbqmsmwpO8dH5wsqKqMg7Jk7hsyacilIcTA0WTAe5+eUcqce9cGDJPmk/mKjeu4Nx7wPPbMqgEHyuBE4uXDIe+fb3lytuD6dEhtCnzY5Z5KFZFRMBuUfLi8QgXFwWzXE7beeg4HAwaF4g8/+Ij0AqyktSZEz6g+pMhq2n6D7VdMqjGZ1HgS0cPaXjKtRmRZjROeIsvxMZCbitFwSl5UOL+gqPYY7e+hhhWUBUIZLq6e4fFcLJ+Tq5xxUVHmOS52SCGJeFJ0lDpnNNxjmJcUWmHyAVlWs+3WIAQhud3SXBo8jqQ8w2LEs4sLOmvJTA6iw/kF48EeRTlACIjekWvBqK4QCZbb5zRbjxwpQg96VFOPagKRIqvZbp/ThYayGJApiRaJMtOM6xFGgHORq+0JVudcPDyn3265c+8VEInBbI+gIlU1IKtqHt9/wGregzEszq9YXC342juv0TnHsu1ZbSzv3DjkpemIT9dbgtE0bYfbNgSnIAa0NlSDkhg8ySqqUQ1JEIJDIXBhB+8QTiC1RGqFcx5JRCi9WyZFR/Q7Nbxv3QtnQSR4j0pyt/itK25fO0QYwb3xlL/zlTe4eTSkazaI4PhsPufZszWjYc3nju9w/eaUJDSZEmydY2HByIiWEqE0WkvW/S4jPM4LsiJja1uEh2pgaBuHtYlcKbZd2EGVuh7nA+MyQ4aI856u6YnBomWJDZYqU2z7RFkISiN53jikyYhCEAKsncWLhPeSTXCoGNkGx4d//gG/9ZdlgPvdf/J73/jqr3yVG9OCH58vWa1XaC9xWPbqjIIBwojdBxsdqhpwUA05a3uOjwekvEbJxN3JEBEz6BraGKiqnNxonqzWLF1kPFXYlBAxcGd/wu2DKaerDUezPQ4qSa48zxcrTpYbXtmvMQj2TU2fEk/XDuF6itwwSpI+Rlodd6HNJPFOcnZ1ReogdLvW+73RhEILgvC0rsOqApe63aARJP1iiQS2S085MiBLSr3rT1ltPVO1K2SV04LeBm4bw83pmMvU8r/+8WdsN1vuTUdcL2rePV3hskioa0aDgnpQEBPUUeFTYrJXU48KqsMJdu3IMktwOf/O5+8wLGtydl/As3nHr71zlyom/uD9R0z2Rvz8K9e437bszyoI8PHFkjf29tmbVTxdb3h1rKiN4LXDKW2C7z+95KvXxvykWfLgquHmdEBpBbO9ksNhzrOzhkXT8NJkSpMKtHLcKErKOsPk8JOrFYtW8OrUMO872iRpo8ckzxNn+fRqS2UKJiajkJq5a3BRUoVAoQ2dgb63JHYF8cELbEioYJFR7QKsjSWX7FQLl0jJoTF4VZCynFGt8C5SOnAmUKaEDwGUQSuDkpKynkCp6QjYNqJCJDjFfmXopST5DWWEO8MR33z8CJEEyXVEmeE8/MrNEW2y3J0ccXs2ZjI23L11g1dnN7g+rpiUGSnI3Ya7tfzpR5+xbLe8fOsIbwO27RgPch6dXqBMTjkwO9Ul0+TDCbmRfPFoxGQ047AY0FvL482GrktMVEWWCYZGolTNcG+ENvD6oCLLc5oukasMKwTzznJtlLFsezpnuVy1CJEzzDWLzYLkFSEmXj/Y59HVFbHOKEgURtOmnnGRMRS7/rTlakGZ1QxLT9SwdT3WJ9ZuzbLv6X1H362JwXDZt9h+w7IX5LHj5YN9bty8wUQXWN/Sol50qVmSjyxjIkTLJjkOpvvM246UJPvDmkXbIGPk8PCQ1LbUpeDW9QMqXdP4iMwFda7pWsf5pmWU5wzLIXsDTe89vYvg4dq0wvWBedsyrMZUVc56vUEXAlPXyJTIco3FkztP03akvCDJneVS9rucgCYRXEvIDEVuuNz09B5IkkxlRGk4mOQc7k94/8kJz9YdMu3yJMFFVJIcVxXHeyNGZYGMiSzLUJmi3ziC84xKTUSxDd3uIh4VMiUkDpUZrroO53sOi2qXulMZAoHMSpIMVCGhS02e5zxqFyxDopA7xLoNuy12u9mSGUNVFuQpolMi15LGgjFmRw3G42NESI1JIJXkO//iZxm4n+b857/3O98YvXUPSaDvIyEmhqMMaz02gjEC1/ndZUeF3d8AECQtiD6glUTKtOvU8pBcoO8sSewywoVU9H63LZZAriRGZQgPQiiU3EFEtNwh0AejmqQksYtkuSZmBhEiWhiEEOgsIZJAK8NoLwevWG1btq3DuYS3kcm4opzlJJdIYTdMBh8RUuK7jrLSSAXtxiFRZFowHpQEa7G9IzqLnhb0jaXbWrTRTMcDXAys5w1SJKZ1AdqDhrwc7qizXdiBdSKYPNt1dZHItCArc4JRdGuPDInt1lFoTTKCj87WfOnwmE1uOZxM+Pizcx4+OeEX7l7jo8UFUQTOLrYEC2/f2+f6uObbn5zyW7/yFk8WjvvzBYfTIe99tOGv/9w15hvLn/zwIcf7A/7Na0f8aLUkC5L7Txbs7U05PB5xNl9gZMnd4ynTUY2Rif/9vQc8mC9555Wb1NrwrU8eMW8dx4cTfvTpJd/+6CFZUfDlO9cAz7tP51wfD1iJiOoFQyPoQ+JJa1Fx9z876VcMBhl7uaISkoNBidaK4BtiVGRC86xZEZOmiIpBnRNy2Ms1j863vH40YVIWPDi/4nLRcni0j0+JYaEJPnFhPYNKcbKwfHbZMh3XrKLmdiXpupav3L3G+aKncT0yeDobeffpCdpkpLDLjhldo5SC4DHaMCoHiBTZui2IjpTWZCpS5RVIRWlyEALnI0+ePiDLNLlWZDqn8/3OIaEzRlXJMFfkWcWm7xnXsx0VM3UoEkZJXPsXylkiN/kL+10kpUR8MYBoswPEtKEnNwVaabrQY2SOFBnb3jIthxiZMGpNWSiKbEpCEHygcS1Nc0GZT1h35+AdL919DXSO8w4tOsajGc71EHpyM2BQzci1Zj7/jOlwH60SRZHvFEQhQYKuxqxPzjB6wMGtKe22ZdMvWF7OqQZDLq+W2MWGYB3eefAOgeTem/c4W28pZA4pZ9tteeelQ/CSJ60jWYd1nugj04MJOpNYwEgQyhBFAJkQyN1SKDm0ECThCUi8cxgh0FqipMC9WDbJsFPjiQqwlNUQrEPJjHFV8NVbN/nKK4c8W635h1//Gl//+dd3uUkZef/xM/7oew9QlebeaMort0fYzpOUYdNtaL1DJciNYDyq0DESVM0wy5AR6jKidM3FekFIikmeYYTCWcuwUvTbQFUZiDvS9GozR+YDLI7j8ZR1H7AkdC5YBo8RMO97SinISYSUqIp6RxgTiWVv2TqHs3BQ1Xhv+fF3f/KvNMD9a0GhvH3vdvpP/tO/zy/fnvFff3LCReORzvL8bMPNvRwmEwYucZk2+MZzfTrk8XK7g5nkOco3zPvEMMsoixoRdyXID1ZbspjY2i0PVo5iNMP5DaldsacrTF5wOCgJQfJ4fcHe3iEmc1xdrTl5suCdG0cMC8GoMByPKr633PCTk45r5ZDrleXc95wvPZ97aUqRCf743Yd8cH9F3HYczCquvX5AFgQ+OLyWyKwgNXC4X3K5vELHDAsMXUObZbx8MGO1bbjYBA7rnPlyydffusO4qvnWk2cMQ8VKLbCiwIeIjo7rpUSNZzy7WHDj+pgzu8VGQR9GbC/PUMlz8sQxrT37eyVdKHGdZRs7XGz5+29/kYPplMNa0HQNn24sm8bx9tGMg4MxT9eXnHaWcNnjQ+LW8ZQfnZ5ztoGbquSVa4En28TV+Zb1fMnN64fMDgz/7Tc/5NWjCa+NC95bzvEh4c4jzkTefO2Ix5uWq7NLXimHzIVmlCxOKFat4E6tuDOr+OFlw9uHY0oDHyw3pFYTCExGBRftknc/PqMuB3z+eMJJb8HD0ShjaAxXoWfhJLJtyDxUVGgTEaV80fvjubAWJQS1NPRobLukJ8cEgSeitMGFwNgYhhrKHJZKkIQit5Y6QZsELngSCSlKqkqTCoUSmuvGYJNl6yM3jgr+54+f8P6DBbG3JBH5j7/4ZX787BOy0vC1V19HS8XVcoHH0ViL8oLeJzoRCVoRbMvDqzm97xBiyIPn59wcH3B4DM2V42AypvUdk9GM2GyoC8OXbr/CjRtHvHf/Q7794Uf8ywePuTkY89a1a8S0y8m8//gJv/zGmwxkZFjXvDe/JEs51kXq0HC6ark2nVFXiavlGoGk9ZHzvkM7waiW3Jju8WC+IYXA/nTArBpw83ifg8zw4bMLqnKMHmqU75nVFT9+cJ/94YysHvHg+UP6ree8cbxz95iTi1PefXjK9YNrTMsBr18r+eLLn2fRC+x2zfnVEz67vKIXOVVm2PZb5t7yqG0RruOzpxsm05zOBX74g48RueLf+oUv8fDRM46PRlxcbTg53fBL/8bbDCqwvWXVwbQouFYWzFPis4sLjDD4KHC+JeWaTYxcrRsOyVi5QK88OhtQiUBwLSovETHR9A7tO0Z7+2RSMLcdRMVRLRHKsG56qnG5KzHvGuw2MB7UjAY5mQmUJmOqMs7ahvN1y15uEMZwummIoWeUD/nCjUP6EEi2Z2QEXuud4iVLkpRcbZZYb0i+22WgfI/E4DNFHSKZEWRKs246+gCT2nB7ULJXTMiIrPwugzDJFCscP7k4I1OGQiuuvEP6ROss98Yjti7Rdx0uCSKJi2ZDbQrGpabvIjaGndlJC/KsxIXEP/rN/+JnFMqf4lRHs/T63/0NfLJ4HyBoZKaJWOrc0HU7i2qMu8VVlueIpIl2S64lWpVIJXb2QKFpnIXocGa39MmlJMWEc5GoIwNd0616vnL7FsUYvv3jh1RKE0l4IfBG4l1EhID0EZ3vFECLQKCI0aKkposwyAXvvHabK9tzdbJlfnrB/QcLYorc+9wRo0GJ3/bEqEi5IllLViqcT5ASyXdkumK+2jIa7EAToJCwK57PJUZJui6SDzU6y4nbwPnqkiobM55leOeRPlLMarpFS9c4EoLSGDa2J4TA/mRI23lStC/gY2BdYiYrBscFH392xWBQQGn47V/4Km7Q8D/94DHn8zUf/vgZX3nlOotk6Z1gu+lYnTf86ldf4aXZHv/Hex/y62+9wq1C8IenV/S25933n/JrX3uDukz80YcnrNaOr965xg9Xl+RecXm65WA2YbyX89GDp9wcVPy9r7zBB23L//PkhFfrmvefLPnqvSOEjgTr+OaHJ6RKY7TBWzh7cMatW/u8fmfCcrnl8WnLV169wRu3ZvT9lr5L/MH9x+iUuDWcUuWGXkcSirV1vDosUZngk8s5nz1f8nMv3aDB83De8mo2oMgk9SRjvt7yvUfnHA0mfOH2iCQEq7M1d472CFJw3nRoGTlfWH7u9ohl8Hz/4RW1kbx0PIWk+JOPPuNofMwvvH7Ium9wQfPNT35CcDvlVUiNt/3/PzApY4jeE1PAR4FSEkkiikSKAW8duS6REs5Wl5R6iiCQaYEUiZB2eV0JSCFRSnF+9ZCYa9quJzc5WTbiantOv/QcXbtLioHQr5gOp8QEuQoIoQgxkEgobRBJ4NwahKL1kNBIGchFxDlBZgxaG6JwCNIur+c8NnTY6MnNBFKiHpQEH3nw+COuT26jM7nrRkua5Dyb5jm6nCBNxUB7BoPJ7jvcW/re7gqxjYakON84Hn/wBCEcIlluvf4SMvX4CIiakwcn3Hj5Fo/uPyT0W45u3WK0VzOb1bhYgG1QeUbnIoOs4K+8cZ0fPXzGlXNkIeCkZLHY4pOkXS9QumC9aMmGGTJJTKUhQEqOLMtJ3tFsOqTJEIXS3UYAACAASURBVBJSiCDEro4gSrRMRAF5XSLSzjVyczLib77xFn/ryzeY7Q8ozZgYI8OjMXZ9yR++/yF/9v4zaqCuh7xy44g3b99gsFfx4MkJq82aPip6F1h0FlJD04PzgevTEZfbDYtly+F0gFawXlvywlCwq6vwInA81EQE0UkWtmW+6RlWQ6RMoAX7VY1RCbTmjz94QLtYo2Igywa0MdF6iw0WJTMUjrIomHcd565DpcTRcEKUnv/l9/9HTp+c/uWgUP7jf/qPv/G3/9YvsTep+OBsTec9x2bAxjq2wdH6jmmeI6VH2EiBJreR2d6AGD0WSW0GLJoNbabYJ3AyD6xJ6ErTYbBbi+1bVAykEInCcHO0jzKeYAJZUSE76AAZQZSGuii4fjzmsnMolbPqLY2NxGZDV0T6ssYtLC/dHZMFyMqSoqypi4yyLmlVzyrmxCzjSzeP+OLhIVsci3ZLTIrXD6eoFDjMh9w+POArwxGZyWhsvyPN+cCByTFBcrKeMyoLbJYRM03pNIttx+O2ZdVt6YUmc7DsGjZbz7QUFFLQi5wQG4xQDIQEL0g0+CxjsdrwteMZISlGk4pJZUhS84PTJX3T84Xr+9woC+5dm/AHP7rPzb0hh/mAx+2Gl/ZLiiBZdI7bo5I/eviItbcMAgRvkdM9VosVH50ueXU6pCxqzi4XHA0L1l0C0TGdDLj/7JLXDqfcPhzy6WLJ2nXMTEFhMlaiowIKF7Ayci46ZkHiN5a1VshhzVGWMSkyWt9TTTNEgFIrgohcG5ecz7cMMoOMnmjAd56QSTbbBqM1wmuiFcTo6UQgeU+KYRektR1BW2LSVEWBdIkuJjqbGI1ytNJEC9EoJBKtd5k6IwSx70nJUQlQUpC1iYNpzRU9664DKcgXW1bthjtHE968dotKF+SFIljBx4+e8nS55apfkmnJ3f1jjMx449oh803LfLViYipeOprw9rU9BBNECqy6jtcP9rjYBupBzf3zS/r5ik5AMob3VxsOhwX3z5/z489OWZN4MF/z0mzCP/v+J3z/kwc0veXaZMjJ2ZxykBFiz1ALBtMpk2HFpt/iTcXEKGaTPe5cP+DNm8fkWtBGwf5oxp2DPYxWdE3g3K55+d5d3nn1ZY72ZkgveXJ6yl5Vc/f6NTa9JXpFWSiOJhnrzlFXI37t577I0Ujx0f1TNq0n+BUPnjzmo9PnXCwbbBRc9nO6JNlEQ2YUKVkenS1wKRGTxNkEzjGeFWSyYL1saFOkEJrhpOJ009JsHWsX0BIuOsveUNN7QVEkrg1rJlVGtJ6L9c5YuCTRB4swOcjIdFThPGw3PbkucNYShGTbO5zzzBctzicybcAGdG6wLtI2Let1C8kjq4jwiS5kzIYll+2Wp6sNtSxQL1TQVduSpObWeMZxoXbb4CyxioG+D3gpMT6SYiID8oGgcx3zGOhCIKXA1u1sI13YqQrWBuoyZ7lseLJZc2s8pc4NQioKCUu/4XnnECp7cekRKKnJpUIEgVeaQkmSMfTNhioG1kmTksTaQFHmaGXo7A58s+08pdL8yT//k58pcD/F+c9+93e+MX7jZWIIJAHJRmISCAQpJmLvETqh0MgQMbnEOU+KAlDkMhCzRLCCXPIio6YZaI1+Ya2UQpGEJAWPTxGXIr63fPH6lE4p5k3LxbKlXVmUlhQy4XxC5btS7hQiNgkIARV3MAXpIr0P3L4+o/WOfFQis8jV8zkqwWbV7VDiQJUZ8lKSfAIjwILOXoA3XABToF8snHWmcD6SGYVMBlNKTEo0NpDlcpdxCxp0wvDi0isTzbIhioQUEkHEaIkHjFZILXY1LVEQtSBFSdd0eBW5nU+YHI959uySQku+/3iOjoZ7N0acr9dkg5x3f/SI46N9Xr8+4JPzOUEGpKz4ws0Rd2ZDvvmTJ/zw2Zzf/PrrdFLyuOmZ5YYqGQ4Oahad53TR8fVXrvG06Ti53HI4zdnOl2QHNZk0/PDZki/cmvCLN45pO893Hz7h83euc1wqvnMy59HZln/vrXscjQbcv5rz9HzN4cGInzs65Eenl7QhcDAeooVgLy8xSTEoMsajKd998JyLZs1eXbBcO9adRcndZ2WjIBtWDBGMTcbdvRGfbde89/AZd6czvAzMreN4L8c4gUiBRki+/+CUMsu4tTcgiMh3nlzyxvURMSqE1kzzIduNZevgS3cOuAqOx8+WHI0KohR89PQ5JIWIAhII+RfP6g6ylGLYsQjkbqAXgDI7wIhUCq3E7lnVNZmSu+dFBBCeqhpjbQ9htyggCfKsIjclJqsxKse1VzSXa2b7Nzl5+ITF5SnWW662l5w9PuXw8IjETmWSUuxUuZTIMoOUhkwajFJordDqRQZVsqtZERElNUoCaIQwlGaIRGCkJKVECIk8r9DqL6zFjj5B4zeURfViYNxZk4NNeL8jbobEbhhC4iMs+571sxNSiNx54y7rbgFdJMtHPP7sEa5tqesC16+598odRIoINPW4xkZPkSlyJQkBRJ540jq+cDhltelpRaSNjulkV7rd2IDOSqQRu5xa8uzUU4UOnhQlQidShBjEzqkhQVjQOcjcoIB6WOF6R7CBe8czvv7KXX71zesUxZDpZEJRZpiipN8859s/ecB3f3xKZnb39nsHE1463mNvOuR0Pqe3Gc5FNtsWa1u8dcx7j4iaQUzYFHAOIgKfHOMiZzIyLLYOz46crGRgGxPBC6KELoQXOTwYDEsUEp1rMmDZ9RxNpnjXcx4imxhYuJakd+/ZxvXkEqRICJ3YdJboNbM8Z75t+fC7P+Yf/oP/6C+HhfK/+a9+/xt/929+nZXUfPujp7S9o+1aervgpE/kXrLd9rstIZKirEnRs/WRYak5XTRkSRCzjFw6mtZSFDlToxDGE7vIYZYji0BVTiDuuhmOpyM+PymZVXt87voB9A0/eHbOquvZG9eURiL6hget57KN9PTkaTcUSylZbizrTU+lHQ+sw0lFkSLH4xE/eXoO0bI3zPnitWvcHA9IvWUkE0+6yC0h2a9Knq82/LUb1xnWGZmOnFyu+Oy8R8nA1DiG+YBfuDXh/csz3rto8BeBN2Yj3prmnK46rrqeJCG6yDAvcMnwwf3PWC3XRKmIzlHi2baOTAjaFxtHnUm6hefXvvgaQ6XYCEkmNNNcMxkOaLqGxcYjY8FE5Ez2J7St5//+8QlHRc6NOuOT5RWTuuKDT044HNXcujnk3ZNLnl5aij14vOo4ngzQwOnaMcw0zxYbnl9ars8GO4yzVBRkPGjWfPHODYYCvv/glMebnjcPB6w9fHK5oFl5ZmbEo75n7SzGeg4yzdw5TtuWmSmpsoyWnl5CvxWoGDBGYaOndz1RZ2SlwfpASBoVEhmBdUj4QmKsRcaw8/y7iEgBkxV03pI56EREFx4jPKtVorUt6EBlNN4rVFbTrXu2SiCVpLcJn2A2GLIIkdjCpM45d4HVuqHYLhkMpujQc3p5xScXa4TteHhxzo9Oz+m04d71CSOtuTe7Ra0Sn55c8uhqw/F4wMs3rmGDAuewraWSkf39ffayhB4UnHQNf/74KY/na843Cy5aRz0u2HpPu2nZ2MR0POZoT/H/fviQp1cdz5s1q6ZjoQXNasFXX3uJEC1LBJWSHE3HeOfZKyoO6wmvHE7JRca1vQOOjmYcDWfcf/yYVbNm3baMRzl3rt3gzvWX0NLQ91sefvaUh8sLtl3HsBqTyYzTzYYyjxipyfUhi9by2v4hPgQenJ3w3skJi03DsmnopcSqLVNdYGOkdz1CAbInrwu6TcNLN/eJSYKCzXbLcDwiz3Oenpwji5woJPW4JjqJF4KgJAOpqAuJjZFpPaCQcmdHEQrEDs3/yWKLkwHhgLYnNzuilESgjWE6zCCTrJpE0/WkEEDu6glC69BScWE7CLDperZbxzp4iJCC4Fpdcbmcc3++QEbJYGCY9z0r19N5z0hrDmtBoTVSKnxMZHmJSgLrE14EFAqvJJmGLgiapsMUJeNcknxESwFkZFow1AVbv0UVBhckpQwYVVCYxDYlHi7XSC8JsmcdAwfFiExKYrKUGjabDa2CoBQyJroAw7IiyRfAidBjXUfrI5OqpjISGwLf+hff+tkA91Oc3/7df/SNw7dfgSR2pDYhMToSwo5Op5QiU7vBrA8OKTRSFyidyKXCSIEpqhcX4USxNyRFS0garSTeB1JMtAR8F9BSkAkYlQP+zpfuMa1Lfng55/TJAnxiOC7QUqK0xgaPtYkqq4kWMgNb5/Gt5/jOPloZltuGkCSmFKwuWhySLDdkUjEeVeR1uQOuEMlGOSkGusWWXBdkdUXY9MRkqfMCoR2SRGHEDjMuJOEFFTamhOsTg6rABYkOloREKr1TZVQBcUfkNGhMrnZAJZPho0LGSFIBaXJEgs563jw65GGz4ZbOGB9nnJ2tkZXk/vMVVYC/+vp1tNI8umromp7TqzUvvXSN2d6UTx8+4cvX7+BS4gfPTjg8mPLBgw3WOUwm+dZPnrNyiZdHI7JaY9uWp88bWm1587VrrNc9737wkF//4v/H3pvE2pae53nP361+d6e/fVcNq9hIlEiLtCXZtBRDcaAgSAw4BhIECTzIwMMgQAYBCMQxoEQCYiANMgiQWWAEDhwbUuzYkmPRakgWySKr4617q+69dZvTn7Pb1f1dButQY2kQRAK0JmdygH0O9sZe6/u/932e13m2WuE92Ab+4JMjRqOMpEroWsfvPnzOog9MZyWHlx0fvTxG6Mj2bsk4z/nue6/Yv1GRacmy6Xn46pRCJ0xnBd47ll3LpbXc3J6wWDUkuWBvPOhhjruOWaIY6YxF59HB44NnTWR7nHB+0fDFGxMOZmOeHl/y9LJmr8rpjeLp4py9KsEwDCoHOxXfe3jKJE+5NxnhpeN3n7xinOXcrFJmqeBl3XG+anh9Z8a7z54MW9gQIEK4+iligCAYnGMDREcgrwao4TMhlETIiDIaESUQ8L5HJwaT5timJ4SAUhpBIIYeCShlkEhSqZlkI/a29km1IR+nzHanbM12kKlgd/86RoIyAqVBCYHSApMkQ5wvRIgQ8YgokCIlChBIpByeIaUaDgyEVEg16BKUFAw+uKGbnJihZ+xDIEkSCIIyLdFXhy9KSbrmDKVTQhzizsNQC+HKYeeUZH2xHrY8Bzu8+PgzyskYVeS0iwuIGmkcW9sztEpxUfP0o4fcunWTXgykRmJkNhoTTGR5ueDz127w2taEl4saGyKJzGj7SLdo0YkmLTV9bUlyRYjDfTJKidCCTd1hsoTUSOq6RacpWaHoPUgiUknatqVvG3RQGJPw8/eu8eX7tzm4tkeeiSHKLXp+850P+ejRCaM8YZbkXN8ZEwrJ5269zo+PDzk9O2W5PKcNgVXf4b1j0zbooNGJQqWSxnrAoyM0jUWphMkk5+i8wYceXSisB4XGesms2sZtNggdSXRKIiQXTcuqqemuoEmZd9zf3+GfP37KMvY0PnDZBopMsekcqU44bh2b3rKdJLRxiHRXQvHR9z78Y0FM5P+nd50/5hUivL9Y8cHzC7a3UpJRjt6eQTHjugRnO6zwSC24ViZUs4ou0di2p24bRuMRPk+YShj5ilV0OGVYecfTwwUTo1i6wNF8zeq85vXZFhOt2awsiUq5VkhwNeuquMIxR87Ol3R95LNFZLms2Wxqjtc9k7JkZ5yhfcBHw0GRsNg4TlaW9959woc/fsX7jz4jN5Kf2rrGf/jmm/zczhQbFK3vmZQJt7Tmq6/tslMVlFqyPzactmtOO8er0JJry97WFjv71/j81piPLjY8vTijaVpuZPC37t/l1r1tetOjsozCpCSZZtmcMFOB+7N9VKeILtI1nouNYx0UL1oIXcvaabrWMpnkzMiZFAnNsuVwsQYh2U4y7m7v8M7zQ959dcTL+YpcKC5czxfvbHOws8WTwzU3y5IPXl7ywg7UpvkqcOv6Njev79G8kvzMwS6Js/zg+TnLZkMfQaXw5kHG+qLFLBw/d3uH5xdL6pOG3i5Y5UCpuVZETs88L1ctcwRZMSFxiuPYEYxmr8yYJpJewIXrSVKBWzbs+ISb1eCyicCNrCIvKmoJCZbOeoK1FEaR6qGcrUxHc7nBJ4ogS7wErywiT6mdRopITCyNrbm8aBijSURAxMjaBdY2ErVFiR5dpGRa4FxAti1dKzi83NBSE6yj7OFr127x4GCHICWres7zteO9wwXPjo/50WdPeXZyTt1bbiaaA5Hy2rV77O3s8Aef/Jjf/fgJF03L8dGcd957nx8/f8Y/+v4P+MPnj/j+swuOzhY8fDVnq0wwKCbbI8Qo49xJLuoNb022uD+ruH79gHw/Jys0O8WYYifn81/Y4Suv3yNmGRehZTabMBaG67N99qcz2l5wdDinkSVHZ0tOO8XRckUdez57/oyTixblEybbYy5c4OXpBmcV22aG7XouT445fznHJoYvvf0244NdHr14wW//8D0eP3/FDx6ekZFiXcOjz17w2+9+jyQtSJKMRGr6HqIS+GaFiZKVF/jQIlXO2XxDt+zQTQNJTtP2rFYLlqtLuqZlvbGczU9JIuyPSvKRJlUJh+sFUsBEazoiG6noesFOobi2VbKRkoWDKssYZTnTJKUkJVHQYsmzBK2HB8+izAhaEAJIA5NxQpCa6CIqQuscl72llZbObVAIOhWpW0epMu5vldR+zSoKkpggZeCic9jeoeuOJAhmacrIpIQghjhNEIwFFJmizEEbiROBQGS+6lAxsJsXjKQlRIGRglwOf/t541h1DYnOSGNkVhqezdc8X885Xa54dHqOd5FATy/BoHCxQxmJjYogFWlmhm5G78Boqp0tcuUptKBKI96BiBCkIlGCUgs65/5/vuP82buEgDTPkEoitUYkAhsghIjretrOsq4tMUiMGZIIXdeTEOitZ90PShbrh2iVrhS6SnCxow+BKDXrFkLbkQjQNqKkpg4N//DxIf/wo2esFg2z2YjZXo5XAi8USaEgSlaLnq7rENoNXccEQhw6c/vXZ6RGsjxb86NvP+bJp6f4AEmRcv/ONmmmaX/SpQkS20tC5xEqofeR5nKJShUmyWiwuJAghMEKg1eSIC2RiBOOumupFyuE1gAoKYf4fghY7wi+RcSUVCaoNKP3ghAU2jlcWxOkQ0qDJmCMoUw0zy/X3Nua8bLtue7HfOFzN8mlRGeCf/30BR89WfHluztMdsdcrBqsh88lOVMi+XbC//qvfsg7T0745S/eY5RKfv/pp9goOahytvYqhPL8X+9+yp4Q+CTh4fOXXJcpP79TsDtNGO1v8eGzOXu7FT99b8rDy3Men56Bl3zp2ozvvTjm3U/OyNOCX3ntBocXx3S95+3tfX71tVvEEHmxXPDz1/f5xpt3GZcZ687TWgs24olMUsPP3d0nqsCLxYr9fMROOkEoTYmi95KAYpJ4juYL2qbjrSLlbpnzdLOgbSIHJqeqMsZjzabumSD4K2/cobaCf/rBJ5zXkWtJSS1b5r3jaFWDEHz1jX12S2g9WDQ/fX2MKiQfH50j+IngOhK8w3uHdw5nI8FDDCDiMLiJKBBCo+QwuAkPUpiBkCgCEY9OzNCJa/shQukswjvyNKXMK7QQCO+QzpLrBK0SjM7JTc7ueMQsLcgE7GVjZmlK42r6bjVogKIk2EB0A0zFe3A2DFUnBD44lFLD4CYkEom8WgioK5AU0QODFDuECAzRZogIMfgLtRAoFAqNEAqEoBjvI9OEKCMej3UdUgzAjsP5nMP3HxM7h04mCKm5/8YdplVBfXZO7CM37h+wvTNivTgHpfns40dkZY7JBd56ZARQoBxbaUKWJbx3fIxOPL949zrXsoplt0IHyWycE7VjuVijE4UxGUJ6pBoGuNY6ZGKwFloXyDM9uEiRGCOHYds6tAgURT5I2c/WjHTO9laBSQBV0nWWzWbJJ5+eMM4NUmtGk5J533NysiSrFJMk47INmCJnWk5xvWXtIlEaoupp6g1tZ2lDwCHpNcgkp/dwdLyiKhSTrED3gSLJCcGhpQQa9rdyJqOKcZmTJgrL4KsM0RFsh5WAURwUM9zKo6NgK1ecdA5IOG8D9J4kaIrEcFCNWNiW2vck8o83mv2p2MD917/xa9/86a9/iZkWbI0Lut7hO88okwSjOZ5b9meKRBiC1nz87CUi1YxVQpblaB3QVpC6ni7XHF7W1F7SdmtulyOUz2hD5LwXzNJAWWYImdL0c94/WXK0WvFyY3k535AmGS54vPckiSEZ5dSLNQfjEuEjP7Ozg1Serm/o+o6tqUalCb5dcnm8YLVquVg59sqcv/PXvkId4NuvXvDo2QsmRlFmKWnwjArNvLH0m4jwKduZYaUEte25Oy4Ya02ZK2baE8qcjxc9wkfyVJBuVzw8OWfeOdahRTmGDoFWbOnIjemMWTVmjqDIAo1QKGEIXUNHTyo1QRruXRvz5Ws7TNJ0II7JhnVIOUg0WQIxCxzXGy6bSKYcd/d2+Wh+yg+PjggmZUuW1KpDenjnyRHNPPDVa9u87NYsLhvuFgVHtmE0Lsm1x3SeO9d2eNq1XF5u2C0UbSIokhTnNjx9WWO84C/cPaDRmscXF4yV4prWTLc1i1XDViFIlGHuLG0MhKVjNwt0OuHh4QlbVYVOJYlKWcxrsjQh1xZGI1bzFh0CwhiCiXgtML3AaUijQSoPWtEIAUGTeI/BIUXAhwBpgguSLiiKVNPbOAjmG4cJmpGKJKVGeoF2gY1URBEZq0BMc0wy+JO2lGQsA6eHJ0iVEUJk1bVoM/RaF01LlWWczM9Ydi25kpyeXHLR1RytVpBFLuuGZd2w9B4pA13T0zWO482Gs6bjjevbfOn2PjerktuTit5fMBqP+fjlYjjF9NArS5JkjJKKN3amfGn3GtEIXArNZsPBeMam7kmzCqEUZ53ks0XL2fqcc+d4vj7haL7gZBOwrmPTrtBGkQmJCIaqyME7rF2zOD1lvrwgCJhmJXtbO0yVoXHwZHWJl4Lj1Tlt3bPpl4zHOd99/Iyj+ZrNcs69/R3G+RAXuah71q2j7R1t3yG8Y75pSFSkkBmHTUcXI7vjCfPTJS+en5EaQ/QBGQLnl5Z6UZNuV2RKUymDjA4yQ+0CWkhGSqJlSi4VG2eZd34YGvsN9apmUTd0ztO6SBoCGEGQnug9Lnga24IccMJ0FpmnzLYKFssNVkhypdjaTolW4hrL19+8SaxSjuZrsqsYiDBiAL94T9/0zMqCewdTtDR44YkywdvhNNoHWLiGuvPEaIenB5kiEFjhwGuc9XTWE6XCh5YYFXXfIbRinCmM1KxipLctfRzceT2OVT9ETgsJSaKpe4diiNBFIQlRcLSuSVLNXpawbi2ti5hk8ANVaUL0AacGiJSWmj/4Z7/35xu4P8H1X/36r30zf/M2MgRsFOAjKXpwCJqI0RrnI14ogrc4PyQI8q0cESVReja+BiKmSumWLW3joXNI/BCdlBrtI2laglL01rKpHU9eHbNYuUESLxTCGLq2oyg1UUg00MeI7QLKCCTD8GfynLzU7I8rTJ7x6bMzXnz6gq6DetPha8/ewRTrPW1vETEivcA1DqUGTY/vPUWSD1CAOHSIUiEJ0ULUw4NeapBRED24riUGg8xScC1aMHiw7ODzIgyxJd91+KvYaBDDBh3vSHKDEJEYJUZ7fB/ZPig5P2v42Tt7fLS44DVdcOZabOugzHhyNOdmsUOtO2rnmE0L3n14zCYIvnZ/l49O5zTeE5vA3nZBuZVxcd7w1rUdvrBb8Oh0wcL3jFVGl0SK7Zy2cTw7qfnlz9+mziKHx2t+4cYtvLO8bNdUueCzw0sebE354fySPDXcGhf88OkZvojc2Z7warHgk5dz1r4nm+TsViNKk7DqNnRaEnpBvWzZOSgwYdjOrztHVY0HpLuRZNpQEvn4eIXWnu1U86prIWpGZQlAPi545/ELjs57vnZvj4Mi492jU7bLlEliOI09K+GYyJTGWu4ezLB9y/eeX7JVprw+qXAqYntF3Q/D1sG44LhpOLpcEP9oqAGIw/1LiqF3Lq9UERFiDEO0kjDg7H+ysUMi5QAJ8T5eKS8SvPdIoUmSDCEl1g+b2RgVwTmStKTuej74/vuUV+J4iWSIe4CWiqZdk8oUKTTuKhJoO8disxr0M1LR+Q7wiAgyBogOJIQYEEIR3KDbiP7qtSN4H4khomVCjEPc8CfDmhCBGCFISQggQgQxkF4jEesDUimEGHRb86bHnc7BD0vLyf4WmYioLGGzsFeJpJaDvV3yomB+smT/xj7Xbx4QM40LkUxpRIDGOtZt5JpJOG1rWid4MKuYpinnztO6BkdgWVuoAzqRNKuO3kmU6iHowbmqFURP7CzZqBqoJ84j1bA5nZ+tSIucPMkY64Jf+uKb/Md/9acYzVKCKHB95Pz0mN/89o8YlSWbIKgygfOBYpQRtWQzv6Tu1shoqL0mqVLW6yWXvaNzlnXrkUqQZSmbdUPnHKlOMRKqzDA1GqUUt3e3uegtmYiDWzXYYctb5jQtbJoNKIMKlhxFgmKWFxR5js4KthPFstmwVFBr6L2nzBQyeOraUeSGKtGYEJmWCU8vG169//GfHQrlr/13v/7Nv/lvfIN7BxXLTeStScGpbTldrmijxPYbpNBkEjYyYZoOJLa9nRzfR17UHWWWcVn30GxoVYnLHKOgOJhNWMTIs8UJN4oR+wc5JY627TlsHKeHR7zsNlws1oTacXS+5mxxyV4+JRq4NjNEATfLKTd2S85XS/oQGGeCa+MRNtfk4z1k5zBR8NbdfUym2atybu5kfHy64fsnc5SUPH+1QvcOk0q8t3yy9ATbMMkkkyBZrpZUfsQ4y7hTZqRixXwBO+OS8xi5sz/m+brjW89f8vU7N7isHct5i/OCVBk8kllakAjFvdGMp/MlJ4sVfapQIgE8rZVoEXAMnTQZlQAAIABJREFUno5ffeM+E2UIxjFLElzfY9IRXbBUacW1KuOyXpBGxSgpWUdHXkDiUz5+esaD6xkfHV2QTVK2UkO37DlvG7oYeXx0yZaWlFPNs7XiVjKcskajGU8rlkvLs+cLPvdgh6fLDdEbMpnS94GlUGRRcrK0HIxS2gAnUfKFUYFH8mhV0/Q990YlE5NyIiyTcsJ2nrCc11z2NQ2SxEXSGDBFyTJ62tWCLB0jQ0ffW5SRCKPIlMYHgQoRjWacm4EmKiS1htp1JDEOhNAgSBA41zETKWlIWIuOaFKIDqET8lRDLkBollGTuCGeWlhN262JUfMv33uPo8uGVedoveXMC87ON7i+5prJ6LxidzQmM4EX9TFfuP6A1nmUC2xnJSKvGGWRVCQkWuEl5FXOqEz5N3/qc8yPDtksQCclJkgqafj2Rw/RWcpolHN3vMNrRYUMDmUKLmuB7T1VqUmUxjqNFB2LKPn0+IRX6zU1NRsbGFUFtV3wfBH4+OSU3kauV4bL1iOso22XPDmd4/sVHx+fsFqucXhwPa1rmY1LVssll82SXKZsT0pubk1Zh44Wh/ESJx2vVjVJorARrM/prOVwc0HUDusD1iuaZs2kmlJNMlRa8fjZGcvNHKMMWitWbce1nYr5xYL1uiYtDUEWUEgmVUquJNO8xFjP2bJnMtIUMmFZB7zwoCM2CHZHOZ8enjOvLS1Qd476omOypfFK43qHygzCZLRNB1nCbJIjM8UoMVwfp+TjCSPhmc1maKnYrnL2c0M5GrFY9XQm4nyk7xuCyKkXKxSKvUnOtVHOrMgGKXzfI6NgMkpZdR1966hloG4sZaKokFgZkVFgtCQgEUIQhIUYSVWJFIIohxNngSDJEhprEVpTO4tAkGWKqAS4AQGdpSnjJEcxkMqWTlHEyFREUpOTaEmiNcFZNhaMEwNhzTvaVceqb0l15A//7z/XCPxJrr/767/2za0vvIYRBhkC4iqatTXOEOoqTqQjQpghRuaHrdTt129hQ0t0YMNVFCpEvLVYF9EaIhKtBkV7IjXeWjyevrOI6ABPoiVSC5wbJL+h6RkdjAh9BCHofA9BkGZy6MVdnSDno4ytUcnhZsnJszPWS0ea5ExTw2RWDJ8taXBSMp6V9JsG10cSrdFGU6YKXeTM1x2VDNgQMUYTlKBrG0xUoJOhU+QCziuydCDvZZmi82LoAxGRGIyMWGeRgkGro1ParkWogVpNmhGDBRwhDMLnkUu4dWOHD1/N+Yu3d/n+xSW/8vk7PHp1gnOekAeen274G1+4hcg1z883LOsGEyVnF0t2b405P16yDpZfvHmD3TTh+69OEK0k+oipAnvjnB8+P+Ovv3mbg6ri8fkZY1Nga5BR0Pue777/EpUV/OU7+xy2nqdHF0QnyIqUtx6M+eR4waOnJ/yNn/8ceWL40eMjTi7W3Lg+4+dvb7PoItY5bk/H3JlVLPuOH7664GvXd7g+rWhcRAm4X6R8/+iCSabJBFgpaEXECDDScHdngpWB+bqjTAR7ac4Pzs6RSrKdJkzLFJcJPn225GTpeLA35mY14tV8zUXd8sbuFo0QtDJQScnx2rKVpzyZL3n36Ql3tgsOxgX3tnLefX5KDEO8UUnF0HILRAJX3nrgariRw9CDkAgUQslh6AvDNivGiPjJ7/6kU6cEzve4EAgw0E99QGuF9ZGnx6f4ekM11qRZNnhJFyf4MNAntUrIzABK8bZDolBSIaQm14auX+HCGi1zNm3LplkihWHVrOmcwFqo3aDISFRKCNDagQQrxLC5I4armCjDaxoz+NREHPQcDP8LQhERtHaNYDicSEzG6as5vumH02GlqesNxajEdp7Nek50lr3rBxgjOT48ZHG+5OD6HjJ6yvGIVdeTAp3yyCApcsXaO6QQXKwbLtua1/a32DKayzZwvm5Ynw40UKkT6rVnOjGkWYYNDq0jwguiUpRFAXEYymUUaDPMt8oGUqP56mv3+dWffouv3trmc2+9jQSCu+TZ0Sf8zsNPOL90tN5T5cNhpUxTjIqcrjogpQmeG1sT+uA4v5jTuiF1te46vNNsFxl971Fq2NhvuhYpoNIKpSXrxjOaSDKT8OTiglTDZWPJTYLynt1RxrxucHVPmWpmoymjImOaaZyAlQ9kvmNcjji8XFE7D8ESDSBhahSNaxBRMR0lXHaWWaJ5/50P/lgduD8VFMoHD27Ev/2f/af87a++zrfO1+zMNP/bDz/hdL5htVzRdZrXr1Uc9pL7lWBpW+YbS9d6bk1TOl1QSVgtISmGda9H0G08b+2WfLpcMikSHjeRfr3kizevsbaK7zz6iHadYdslaVmxs52ijUH2nirVXNglt6czilEJ3Rp8Rr5sWEwkR2uIsmN/K+fVyznKGiap4M39LRojOD6+5HnfYTct/8Fr9zHjKZ+enbF0LV/e2uN8sWYdobWRohQ8X25QTpBnKbe2Dds6Y2MD335ySBsl90cj/sLP3Od/+tZ3mG823Ny+DmngcL3gwWyXHQef25+x8JfsBMPGpvyfz55w2QqefPaCe3f2EErSJgmxC4OzI/X8zdsPyPOEv3T7Pr30EGt6P8QRnLdsZMJq5fjtD95j1Wu+cXeXm9MxshD86OyCjx+dsDUdkY8Knp4eMbOOlcuYjQR5VfCd957y5qRgur3NB82CtAmIXjAeD1nl43XD88/O+Mpruxx1K842kSkR7RIe3Mv5+GTBoxct2wm8fW2bE1HjN563Z7sspMAqS+w0edxwai2vViukqLhTjsil5cNgqUTKLpK9KuHCO9bzJU2nCAqMsKSmomktMXG0rUcHcErjCYyDpxcRGSU2Drn0MYqViVRpyVRaimRE7RrWRCbREMqEkc0IuqHuGnxUjGJCKxx1BlVM2NOC//L/+E1s5wi9ZTzKSE1FzAQmJCw3DbiO1PTsFCX/1le/zuPnLxknCSebFXvTGSOTkCWCF+s5D4opx/2Go/WC6XjK3/rql/nH3/0OWZbzxrXbnK1XfPuD95ns3mTPwJ29GYebllOfMNYtv//wCW/uF7x18w4Pz2v+8s1d3j08ou8D18uC1+/c4aRZEUPKv3r2Y+6NMy5WMBplzEzB0jq+/fTHzEJCEyTXr03YLBvOmyUXq4ZJNWKUVmyXKfdmM97/7JIkWkYpfPHGHtNC8t2nz3j71nVCLfBJShQBEyx5nvD81Tk/Ojzjwc0dqjyh78HsVizqNU+eX2K8YKvQbFzPkXMk0RBswCaB08MlMTguV2t2Rxl39ic0ScWhd+zqZHBTaUGR5eQhohJNngSaOpCbhFt7e7TC8eHTFzw6WrBp5hy1EJsOby17N3aw1hF8h7WBokgpVcZZ49gxgnJaolJJpVO2KkPbetraIbXmjYM99hPFd4+OaXvP+cUKXUmqrAAHs1RyfTJlq0qgF3jf0dqOkEhmWTVsHoLAa0fnIFpHbQMm1+wmGV46lp3Db3q6JMUYRRIdZ3XL9iSn6wfaVxYCdXSMUo2zjuMuIoUmDYKtaUZoW0gSJllC33tMktC4BslACEvyjERIegdCBLI0QRHp7JBWON80GKGpfcQ5z//8X/z9P6dQ/gmuYn873v53fxmZKjIP8up9IgSEEwgViDYwGmd4CbUTNJue6Hq0VhQmZ1RqrIx0fUREO2wLfMeozOmjIUSLbWq6PqKzCulWCAyNDeTGEKWj64eH+OA7RA7eGXKlsNERcaRq8B9pGfGk7M1GJCrh+PAlnz4+ZjqdcrBbDocyUsFIUR8uh95xEug7j/CCLDFXPadIliQ0fYNNE0JvSZOC6CxBaVQmaOcdSrkBQKZT8ug5uLXLyXKDdR6CJwSHsOBEwASJj5G+s1RlhQuW05MlB3emJFoTUXgioe8IQnI9nfLp6Qlv7+3w4OaU1bzn1LXczkZcu6H4R++84GzZgoz81PXrfPl6xTsv5/z+x8/ZzxMmJuPNBzs8Or3g3Q+ec313xl+5c4t/8ew5u1kFPvBLb91G5YH/5R//gPt39vnGgzss6fmdxy+4V2q2tkaMRgX/+sOnPPv0lK9++Rav7e3yrUfHzHRG7HtmN0ZkOvIP/sn3uf/6AXdvbbNbpjz+7Jynn5zzd/76V/jR8ZzffucRSsK/94tfZFZqfutHn7BfVvzCgxsgAsEGzn3gg9M5WMdbWxOKTJOnkR+8WFJ3gru7IwojeLGsOTyb81c/f4sXdcMPnh1xfzrhXjWhmwT6pePj56fc251xa3tMLyIfv5rztVu7IDWvusGx2rWO1/a3iHj+n8evEM7xF+/f4Lfe+SFSKVSiCUNI7WqbNqQbIorow3BoIeOw0YqBEATyCvyhtBw2VwwDnRDDwBDiEEsc1ljyjwam4IfuulQKgUNJgSTgPFjXDx5DlQ79IxGQWtD3diApAlppOuvZNEu8X7MzuY3tHVYIutizaI7ZLg9IpaFzPUoNsU98g7MtLRnRbmjs0JG+fXAfGwPPXz1Bp4Kd7WscPv+Mvf2bpFrjXM+6PaPd9Ny9eZs8L4mAd4GHhwvqZyuiGyTbQkAxKbnzYBfcELlfbo4ItWC6u0/ft6RJPgxDBsJozEgYpEyJ9Gy6hsmoQiSKvulorSVBYJShyBU/tbfPcrnm954f0ljH6qyFNCJ6jxea8U5BDA5kxHmBRBF6B8IjJRACro/8+z/703zlzj5S5vzCgwPMNGNRtzxfHPMHPz7EN4FEW0ZpyeHlJbXVfP3zNwneMS4qFvUlp6tAqSNlMWa1WdL7QNP3JElFWUDiI1IZ2tByedkOCQWVMclLchEYVylPztcQr+L/qcT7Ib3UJoLd0jDWBduFApXy6NWSLHM4EnSwvHXjGr31PDo5p0gFVgieHa348ckZmxz6lWcUPDYIcjl0OreKkqVr+N//x3/A8YuTPxsUyv/+f/j73/yFf/vrrLuex/Oa2jdc9I4HecLagg1gEJheMg8dGs/FUnJtJ2VclhyveqpUUciW5WbNaJQj6NFCopOEZdcShUH2lv0iY153vKzXdH2kb1d4FaimJaG31NGxv1OyDh6lJBMtUU4iSKgjHNbnLJzEWMfGdzyYTbh96wbF2PH5cps3dye8XCz5p9/5jK+8vcfruzvcrEp0qpFEhIK3Z7uc2yVOFtwxKTp4PnUdaVDIJKUTBrnsGBnBV964xcJa+hD42q09DmvHBji9GAYtqwy2dXxpf4SPkeU60mjJ+5uaJ/MFqYB1v6JIE8zWiHZtEc0KqXI6Db+4v01Bwvl6RRUFvZHITYNPNCdtT6nB6II0LlhsWj5bWNaboU8jtOOibTk+rtksa65vpyxt4OXFmrIsaHrPbpVSjHMuzhpu7Rdc0NF1jnGQbKUZj23DxHguVi0Sw+2dgkvb8nzZcWc6xstAmuXcHpUIATFR5CLDbno2CLKh04voOzamoChSdqoKouLicoXJBJOtnEREXh2fs7At9/a3uGxrNlGjhEG6yDhJWK42JMohMoMLEYRjZHLqEHFqiKC1FlyU3Nkes24G38puXuBkINSeTmhWbUdaSaJSbNoG23h679BSobVEOImSHR+en2P7lCyTSJVgvSZ2liAkJksRyoI09DblvWefcrpoOe88zxYLnh6/5KSZ8/BsDgQO6w0KTy0MmUlZn3fc2JqyrQNJnjEqSry1PHz1gstVx6tlw9H5ksV8gfXwxo3bZEXJvZ0p21rT1Jbf/fgRhcwYZ4q69ewISYZkmmqaTnBycU5ZVdih5EQmHE8vF4ymI3ZGKYmKjEcT3jwYczTfsOws1woBvubpyYIPT17QyozlZsWLiyVndih9f/vJEdb11Lbhn3znQ3pS/vnDZ7yYt/zs3Zu8vr3FazeuI4wkixIrHSIJ2HZFYzXWt8wyTZoVeBE5nzfkWUY1rfDek6aGqpxQuwF6LnM9bI4cFKnB4TFCI73HmIRyLFmHHm8FIjhUUOgo6Cw439E4QRSCTCu6lcWkkipL8J1HFwatBXXbkyBZ9UP/dKQNZSYwynHe1Jysh6istY7VOgwREz3AUiajBBWHyE7QEalLZqlBKY0xJVpbUiUpk5RNa7G+p7FDDFxEgREKYyS2a5HCk6QJaarpG0fjI1vp8Bmse4skZZRVFElOqgR1aLhYL7m9c4CPgU1T472jbmoInjLRSCmpm4YAoDSpjCSJIgkQgicZgHHoGAhmGJR/77e+9ecbuD/B9Xd//de+OXv7LgKN73psdAOZzmiiAB0kJpEYNFZEotAgAllm0FlK3zVkQhILjfUB1zXECN47slFCaz0qBHJt0DIl9D1RaYKUaAlRR4xKkFKgdURXFQbIECh1Rf7zHlIQURFspLOOUFtyWWEST7tylNOU6kZJ13jW9ZCsSWNCVhm8GkABUUjKXNB7sN0gI/cqQoj0MZCXinRUYuv1H3VBo9aEEAnOQyLYrDYUaU7tr7pPZDjnSZRCyYTWdoioQCkigzi4zFNUZVCJQ0VHJOBcQtx0fPnmNo8WS1StuL1f8MZsi0tn2VNjqjF89PycYpJzcnmJijlbVcqNnQm189i2pVv2OJMx2ppivOA7Hzzn3/n6axwtlpyt19ydjSkwvBAdsbf88PErvnZnxp39ij98csSMilylHIuGvMjIreLTlxfcujXh8atzzk9rvn5/lx2t+c6zI964vcsv3T6gbQMfHJ1TTnP284xP5pccN5ad3Zy28Xx8vCEawVgbGq94OrfsjBJc8CS5YrswfPuTE5resVuWPF2uWXQNB1VBDJ4gQGeCk8uecZlxc1rRBvjOpy/5a6/dYFG3nIZAqROWTURKTZalvP/0nMwIbo0LlE748eEZ16qKTObUMvBgknM571jYgJRikKwLOdw/UQQ/bHiDFwOYKTFXwJABSa+1JnoI7mpD5fwVsVUg4rC6kyoBuNpWDSCU4Iao5tBTAymGaKb3gVRdkS6FHIApIg6O1itoitEGoTS9tXTREbWiSAqklLjg2Ngl3i/YH99AK0mMPbnJqPIKAfQhsq67YXuXFUSVMhltIxH0tmd7a4fd2T5HFy/Z3tll08959fA516/vM19fsrOzT2YGjQFIApFNC70zhGaOwHHtrdcRAkZ5SnKF8E9MSZoXbOoLEp1gkoyLw5cE3dPHlDxLqH0/vN/uSngdPZpI01naIDGhp60th23Lf/KzbzNOE17VDV0IbC42SCMRQtL2gfXFmmAFhCHCKtRVb9wN3x1VkvKf/8pXuXewx5u3thlNM8Dz8elLfuf7j8l6QVZoUjUI7otMc7BVkCaGSZVT5oMb9nJeE01g2VoWrSVFYB0ge5pGoHWCV0NCJ09LPJBKQU1AZ5IyL2itpw8OFwSpu9rkK1i2LatlTdN5lsEh8oJSBC42HZtNQ0CyW2V4J5G6I1hN7TxSRe7lGQ+bNYKA3TSDCk0oNnhWncUQee+7fzyIyZ+KAe7v/cZ/8823fu4LHHcevWopRcqbo4qHlxucHVwfSsHWVk7fO/aqiqwc0XUtJtHUmzkpmsIYahtZpRLRDzS4HkGiJGhDQeSLB9sctguevLyg7QKpcwhj8CISQkT4SOwjo0SDg0wMMse2E9Te8XzeE7uWzBVcF4I3r21xezJj3jbcG424Px3xL15c8mxT8x994TW+cPsGJYqgPCLJGOcp3/7sGI/n9a0pJ5tzWiL7k22C9LxYLVhuam7NRpgspVGScZnwcLHC9IbtvYwfHl6ybGuc9ORodtKU3KSs1jUndc8sGaGKljaRXG46RpXBpAVIibtSDiit8JvAX7o+RqmcedMSbY/QhiZYRMiIrubkYk2VB86OBlzvZbvk5fmCvmmYRMF7ZzUoyVhq8IHeR25u5Xz3x69IRGR/a3z1xbRhd5wTZGRvlNHVlh+fLEhCpFaauotMpaYLit4EylTw9FnN/VnBvRvbnM43nKw3VKKgj4GndcP5qmFPQlUIPtl4lEjZ6x02i7y7OmextnxxZwZtTY1ESs+OMoynBYuYsFk2SO/wBBodSW0H6ZW81EdGSUZWKryTQ2SjUIPQW0YyDFXsaL3D+KFX0jhHcBYUOFcjNo7QC0bK8elyDSpHBY0NjsvW8v6Lc6LtiBaEznDNEhcdvU9w6wXRBZyVWBfoO1h1LafLNevO0jpYdxvqaFisN8w3lstVw7rrefTiBf/yvYe8d7Tkw8Nznp8cs1gGMhMwicLjWdvI3NUIlfDgYIvrVUloLOMiG25+OpBrT1VWSC1Zr3u+9+kzzrs133j9DV6eLdjf2cK4nn2dIJrIIna8Ws754sEtlo1FpiXHh6doHaiKkje2Dlit53y2cnzl3i5JmvK5/RnLbkNVjdk72CP2HXPfsuwdL84XvKhXNNpRa4VWcLyeo8UYlhe8dvc2Hz47IjeeWzu7bFrL8/MTinybG3tT5n3D6ekFnXfs7lZ457AusDPLuTUuOI1DJMvhwA0DU8Dh4xCfiShOuw2rtiPWjou25vok597WFlImwzbDBjarBaK3hKCGk36Vs1VqbGJo5xvOVhua3pMiyVKDVhm3pgYdFPP1mqNFjfXgfM9526OER6kEokcnCRFBagTBXeHRU0FnFSGBRAZqG2g6h1Ke/iq24mPHonVMTEJVGjoJCZrgwQtHJnOMBqU0XgmQAxRARo3tA951jLIMrSMyRpTWzKYFhI7OxeFGa0rGsxQXIqGL5HlOJgTTskQEh79yLUUl0EnOwkMeI9LBt/68A/cnuv7eb/y335x97i7RD+RJQiSi8R2ApTAGZRRRK2wMpLhBQFxmpIVBOIePkdhajNZEbfBBE6UcRM4yELTBCEVwEEI3xC29wMWB+JimGl3J4YRZDA82s60RKOiaFpMoOh+JXtF3llwlJP8ve28So1t63+c973imb6ivxntv3b63b7NHThJJDaFImU5iGpENA1koAxDAqwRwgKyCZJNsuEjiWFCkAN5km8CrAPEmkGPBiRVriimpyW42m2z2cLv7jjV/4xnfKYtz5bW1swCdbdWmUFXvd97///d7HhVAOJLXlEXG3mJK53u2254oItrrUaKdElowOlMdZJVku3NEaUlE8B5tLFmhqY4X7K43RK+AhDIFSqRRBdN7dFbQtJ65AT90GKVwLqJEIgiJC2PfSJscKcYurbUWXWiSAqXFKCFOoJTijZMFT1bw7ftHvLO6INtJPli3/OLpPh9cX3EgKx68MuPh8zWzecHnlytIhp87WjD4gR9/esPFxQ1fenCHN/dnfLZZ4U3k+rJlupjyldMFP3265J3Pz/ilN055tK7xDHTBUAhFn3t+/NFznm0avnzniL15xY+fXFAWBbVzDEJwfLDH2fWOi23DK1884cBY/sW7T/n42Q3VouSbL9/h+588ZV4abp9O2C8LPvjomsfPn/F3f/UrNCrx08cXPPz0MQ/uHnEyLUaXnE9speNomvH8quWL90/Ic83D8zXX25YHxzNO8invPL/gdLZHISOrMGCKgt3Gc7hf8dbhnB9f1Xx6ccOtScmsSny42VBIhYkOIyV785KmrwlC8qCqCATeXW5x3YBWAt97ZBovAaQxlt33PfVuS3c5dvLCkFAGSJLgEl3d03U9Kklc0xIT+METw0ijjC4Sgke9iCdKJCGEUVMAqLHqNm7tpEC5iNbjeUyM44Uvgfd+VHmERAgwuA6jMzIlyWw29ttSpLRTrC7HLW9ICBTOrYmDwnmHkFBVC3rXUGQlCUmh1Uhm1QqtJJC4NT8k05aUPAe3b1GYnDwrqfLJCIwaHDYr8cFzvR1IOLJJxt37t7GZJ9OOMi/G6GLwkALKjL/r3fKc2f4RWVVRZBNckpiZpQ/9uL2bVMyEIjnHcmgJQY5VBZtTFYaYJLoUfPXuLWbCsuoiQwoMQ2ToBmLdEpLGtQMyRqYHFSpFQu9pd55cKv7Wl1/jqw/u8dLhnGpW4L2m9xv+9z94H/rIvMrJpOX+yR2y0tG0kc55dDYOom7ahk07wm8um8C6GyitQkeBzg2FklR2PFeUHi91lbEsJoYkNGnwmKgopcaFnrkdgXAXmw5tEn2KBK/Y9hEXezZNwreOvb0JZVHSukCTElYkpoVi4zwq07jB0zYdk8mEDz89Y9slFjanMJYkJTIKjB71Dz97+6d/eTpwv/Xbv/W9b3znl8mUZNsNmKJkouB5u6H3K7SW7HxiYjV9iqS6pbTjqjwLObLUdNsNsSjJrWa166EL2CyxIPLLL93lcd1Q3+wIeeJZyjm7WTG4HpsXKD1H2QHZG4yInCjFEAJDTLQ6IwTBdnA87x1TW/HV/QXffe0ud46P+fHzG060ZV133GxXXHc1H9cDLsKbRxUiwQerJUMzoJ3iZ2eX3CQ4MZJ7swkXUbALEgdUwCYOnEymPJgvyKNgF3o0cLbe0awb3jiY8ZPNQO92WGkRNhB7QI/T1GXbkEtBGwKOQNN5nIx0UuFUxEiDUokkAlmClxdzKg/Blmy1p9n1XPWOJAPGJ/q+56YeCAj8EPEqsWLH+c4hI9yaV+wZTx0DT893FICZTOhSw/2yYrtzZNpy/2jCB5/d8PJsn0EbLkNPKRJ3ypzJrKKaG86va55crXjjYEFRFuyalkLbEVGdw1FR8v7jK2yZIReGI6M5VCVtD1sjkK5nT6sRQKNyHtw5RAyemzU0LjEpNdLmuNYzqzKiDjy+3BKReByV1ojgSXHcgvW9pO0auiEwtRlCQ9M7sszQxYz9TOJi4MoLdAgcTkqcTFTCMI05RZVjtMLLnE3v6ZxjiJKuq6ms4s8+eUhCYaNDDC1BatrYMbGGpo90ncBFRzc0KFNgqlEA7toeNzhi0khh6V2kD3C27Lm4uKGJnjwv2cSGtVd8/GzJu58+4vlyxdfunWBNzvXyHGUNMyP4T37pW9y7dYe63fDx+Q2LYsaX7t9lqisO8pwsWrp6TScSxbTkTlXw8cUN653js4tLLpuGd58/YmomvHZ3j4Nizk8efo4LcKATt2f7vHnnhHvWsIueVcyEWZ7tAAAgAElEQVT44v1TzpY1r+zPmVcF677leDKB6Gjc+IGy1o7XT+9gsTTbGplrwgDlJPC8rTma7HGza3HRstq03KxbtI1cbLaUecZyec2nzy+ZzPbIrURoSTnJqYQkYpFK4cXoUysKSwqSPgRq1xIFhBDZDB2996gQqdvI4WTCfFGRaZiZEajSuoBMiSEmzCTn2GiUkkRjmXiPLS2lhluzOTbXnEwmCDfwdNngvaCpO8rFgr537NqBssowucbwYus2ODZDwJb5KHx1HTrl+JCY5QZkHAlnKKKQFLkmeoUj0uM4Lkp0JvFeEEJkFyNWypHoGdwYEUoCHQWtUSjn6YXDJFBZjrGS7aaFkHhlvqDU40VhWthRossYhcmsoihG/LqUERdGhD0+4FEIArs+IrXiD/+vv/LA/UWev/+bv/G946+/SgiRPM//FbxGKEEE/IvprtSAsESX8DHSNY5SGHSmiUKQlCAmQXADRo36jKF2lEU2JjqajpAEMUWkqWi7FiMltpigSLS9IKWEQoCQbDtHP4zuQSnHzdut/UPqzZbSKhyBKAwqidELGVrqzqNkwrdQlSV2YhEv/l5iFKQXaHcXBfHFeSykQlqNzS39pqPd1YhkEFKQQo/MMkiCOCSyzFBMCjbbmjK3DMqiSWgtiQF0TExzi7IDPkm2Tc/sKCfLQRUGlSJRCIQWCGk5dDmHx4ZHz9d8/fSAH14tuTWb8McPn/PmwR7bFDiWU955co7oBrK9CZerFUpp7iwqPtvtyMucy6s1l6stX3vlBF8UfPbhE75yus9BUfG0bxAx8LWjW9y5s6AR8GfvfMKqd/zNV095f7mlKg3LleN2bhFTwyy3XN9s+cbtY/ZnivfPz0ku8p/98uu8fXnDDz94yL2XbvH3fvF1FJL3zq/41QenvLq3zzokPr2+YTIpeXkx4/PLDU+e33Bya8JLR0fslwUpBayU3C4KaiF578kFXz09RBF5vFyzN53go0A4mM0MF7vAyg3cykvmpeGji2uOCgtBchUa9ss5+xq01jxYVAgheffZliqz3JrmdH1CESE6aiImU3z6yXPyvKQoJmOP1jtc59DW0u562nUHsiTKhNQCqxVDE2m3A/2mJiGxOqPta2IYiDGgs5xut8FvPcm7sRcXI0oanPejfkAIoveEF0qOkXKpXkjkBeLFhi680G9E5LgAkAaRElpJtLJj5C6O6oCsKNEo0gvptxQSpB39iykiXwwN6vpqpLTqbBzYKYGWiiH4EShixnNcCsvE5lhtWK2fYk1F53vOnz+mKqbYzEKCvVxxvD9hPi2xQjCfTEnJI4QgxGaMLyqNtRn6z0mccuwB2r2SpnOYkIja4gbH3l5JkeVshg4fI955lBL0/UChImdrKCrJ0TTj5b2STopRzN54jFHMjwogMj+a4waPzS25lOQi8drJIf/+N97i515/QF7OcG5DigM/eHLD82cryjJjVhbMck0QAh8k110/DjJipG96Zmbssz3drRm8xxPofAARUDKxC+O2UysY+sC2HyjyMUAggmMv19yfL8ZzEENuPEEKdi6SKcfOKSKeLM/p3YAVYKygMBnDMJAVCisSLkn28oLgoW4cSknqLtC5ngfzKZXM0FIjpcfqSC4D0zJDJfjh99/7y7OB+/u//Rvf+9rf+BZ93fPm6Yz3z684nh1j88CHy5rnlx3CGHb1lnmeU0wzNusdNyFQe8FtK9koRalKFuUU6yPTcsJemfFSYbg1zfjR1ROuOqi943xds12vkAmGLrKY50ytRfie12YzfuGVW/z+1Tk3TcPQ7Gi7nnUfubOX86v3TvjWgxNm05K7B3OsD7y/rPniwQKbLA/XN4RCk2Hpag/Sc7bdcbFOHBUFTdtxgWfYdsTYs0kSFT29g10Dbx3uc+e44mK1IbeCK2DZeVyUXG43/O3X3uCRafnk7JJt2yIxWCWph8Ais9xEeNbVPF93rIyh27TsvCAvSsrkSMmAk2SxIYSKX7l3RNcMRBUolWftAs26R6aAThqMpE0Zqt/SyUSuMibZgmvf8GjT8YVZQTCGzm05mObsJGy2PSeHE85WHd0wMMkssdAUBC7WG5re8fLtOXpm+fDymrt2wrXzNKHjdqFY1o6ma5nMMj5fbThf1by0mDNkgnWzY2EKFsbQSPi8Hnh4ueWNWyeELBKURyXFMYrjXPP+1RohE4v5BOd7fEh45zg7v8YoyUu39/DOE2LC5hl9NzAxBRNrEaEnE5aUg0awq3cjWUpostgBBpcEm9iQJ8m00CyKCZehR0VL4zpylTAq8UndELqGMlOoLCMrS/7oT94DKRi6gSFBGyWxb5kUMwKOerMhIEimRGU9VZbjGV/Wjg/3UGWJApzr2a5uQAj2jiqsiWxuhrFUPpsT5ThxbJPk87NrepFRDwOX7cD1zvHuJ59xuRyjlP/3jz7iB58+hmD4X/7pP+O9x9e8/eSMjy7W5NLQdoY8A0ngo6fPuay3mCzj1cMKrQ2/9sXXiA4+efaMOgWyEEmpYFpafvjskl294otHh8yqKYtcc1JYln3CNQ2HxvCDJ2f0nUZH+M6XXuGX7pzikuPu4ZS9QhOGFiMknU68dXJCUQguu46nmyWfrtY8OD1m0wSciAx9T0qGg+NjwrDjYDZj13RsG0ePRxiL1gmTW4ba4UXCx0SQIFqPFYmbIdGmSEiBwYNWiT46CpsxN+OHahCKTBqstUgfODqYU1Q511cbBufIyhwhBMrYUdA6DFxuWmrv8PQoOZbRO++QUrBuPSIIZlpRTQ1KS5RQtMOAQKETnO5NmJnxwuaTpMosnesQymCjQKkXLw5JoGxBIJJZg4uO0lpSSDSuY5ZNxg3K4JE2R8SemS1ISlCHHh0TBSMAQ3hHEpJZUQKBqBMuJXw7sFfmaCGph4EmOASJUo4908YnplUOJHIJkcDv/85fbeD+Is9//5v/4HvHP/86EoMbEtpqfGpIUpHnlhAT7gVVL/h+dKMlj7XmX/V92rYloscX1GFASktMDq3MCLrpe4LK0VLROSiySNN25EWJySXJRZrGI32PEWks43tJ344uUiUUcRj4yv071E3DuvW4FNBWklyiCy26MqQ4QldiSOSVpbhlCFrQbhqSTxhdYKyA4BiDb2PE2UfY1Tu6zpNllsRAdCBzQ4oDETtCK0RAKccQNFEHFBGtNCl6urYff/5KI7Ukek0cBqa3JmRlASiwJcl1SCHQVvHwkxtMUty+VfLx0zW/9PIt3nl4Q3VkeffhGV+8dcz3z6/47pdv00dIyYJVPLpcUg+R+0dTYq75+PMz4qCokmVSRnZS8PGHKzZh4FuvHdFGyboZeKPIWIdIrwRTo3n70Ya/+eVTln3i0fMb7s0r7lUlnzQ9Onk+/Nk5x/sVZlHx/PGStw4PaZOjyTSvHR3xe+9f8INPnvHvfPVl7hZTdjHQhkgtIg9uHfB//tFPEEZzfLrH3f19iIHdpmZR5iTBuCmVCVVInl407JWal4+nLArNjx6d08XEK/sTPt/dMEmGqVEoByf7FZe7xNVqx2GZ0Q2Ji7bndF6SSUEXAjttOLCG6KHMM4SUXDU9Khn2csvbP36K1iMav207llcbms16vBx5CJ3CefB9zWSWY4scZTO61uG6HqkyssJgsow+BfJqitSGgMZvA1JlJB+wmUEKOf4PmdEDF+NIh4w+IELERwFSMWIjBGI0cGNsgdYWIcdYpbEZQgqkHOXdIiWkUpAiWqoRooIiJoESo+PMWoMQkpvVDSlKpBpjdS46SBHvPUqMnrjghxcJkRGkFn3AFDOSEHR+x9HBHbQ2IwBFJDIlKTKDkgmjFEqD847ox0i9NgprChBj2kIkEEIgleb5uh83hklitERrWA+ekAJCKGSUaBHoBk9MiuPFjIrAp6s19RD50uke9/b2eO9iyf7hATqTdEMPzpM8hHYcvgxxYKoK/sar9/jrr7/F3vEUJxUi9fzo8QV/8M4nFEphjWZaWoJPSDXqCBCRwkjcELi1N0NlBt85LuuBXGicBtd5REogNZWIRCRb5wgoMim42e3wKdCHyKIoILNsfE3djhftJib0C8BpktB1joOq5GRScd00dEFQGUMXB2SEeTa6LK83HUF5DJJlN4zJlmmOzkpeurXAW8PNdkwd9CKAG0m+737/ff7r//IvyQXuH/zW//S9b33r53h9VvGzrsGknC4X/PjxNVfXDYv5hOWuxQnFm7cqssmczBtWbomPHbKoOK8lz5+dc7uMnM72IEqKODCpSi6bhl4rrgbIVcbz1SXry57TkwPoAm/dPSbPc4q84u6BZTU0XLjEMHiknrJXGL5wuMcvnB5yGCzbXcsfPnzKsqkRecbNdg1xoA4dO2tYCsXrBwUfPLlmf5JRDgXf2J8TJxCToq5bnoeBamJpVp6+bYhBsHKeqVDcywSfrXYcziqKLKfuOiZGobShTonLpubDJ5dMlcLrjFJJMgdqAnXv6NsWryHXmrzUhC4ifSKi8H7AuQEhcpTWfO14StCJuq3ZrDtk51m2LWWK3AyBtQ+E9Y7GiDESIEGEgYWArffEXlHojIXKuQqSdb1iWioiEDDsZ5bOwdWqRcwVHy135CFyezKlSYYhWah37KmcNw8OeepqPn52zV4hkEXOLB+R6pfrmq1rWWQlH5ytUCFwd5JxvqkhBU6q8fB3UeGHFh0UbVSIrGcyyZDDgM1ySpnxwydnnN903Dlc8MpiSusCfefwXiCLgiAFKThMjCSR2AZIMZCpcVKmlcQGwXIISG24M60ISbAb4GgmUVHQjWUOrjZrHl5vaIbArfmURZWRMkVhLH/4px/h+gShYUia0O4gRIIV9M0AuiQpCXLANy2ulbghIuNAShbf9YQU6btI6FtkChwen1Jkkj5pnGuwpaKa7aFijRCC69WGpU9sm57lckkUgSfLFT/45BPe/uQRN7sVN7uG9z59xEXtWPUjWrlN8PnVYx4tb3j4/IKbvqETFiUrCjT7heWTJ+d89PiSR8trQpIENJ9erFjGloOsZJFXRC25NZ/zZz/5iFk+4dOzC376eMl517Lre6pc4Pqes914wT6/3iCSo3aOvI8sFns8W2555fgev/LmmxA022bD4CJDGPsy87LA9x6XXoBmKktmHZaMy5sdKtfsaUWHQucj7KQN46tioUsmaZw2phRYLne0YcBKmGQFg3N8vmnZ9Z5sYplOSi4ut+zNp+wdTnFDiyotSkrqoaNLkW094IJCJsFBUbGpd+yaLSj94uJUYrQlCUXnB7K8ZGIVx7OMrh8QNkfZUdgulEAaydG0otQ54FHSIBh7FjEoKitwRI6qBSs3IBN0zQ4fxSg4jom18xQOkkjkWpIZQy8EuYCkNDhHFwLaZqzrgVvTigHB1jvq0DPLM3KtWfWQaUkbAn0YKLTAypHE1qfxZUbj6bqWqCDTijRE/vnv/NUG7i/y/A+/+RvfO/jiqziXyIBymhOSIbQ9m+WWPCvQBhASO6uQIuGDQpcSrQ0+ONad5/rZGpOBUjnaKLSVdD4iIthK4hO0vSM5yHOJdxGZQEc3kvycR2oFMhKTRCSFDeN+VUZN7yPnl9e4kBAvBghCQxQehMAYjSdhc4OUAiUl7TayXXYoJRBSEIQgewGegIQVEplJVNKklMjzAqQm+EAPxBdKBZVHpIK+j4QUUToHH7BKkoKnb0e5ckygAAZP1JJiNrrzkAajxUjelIlJWRJah2nhst5yS89hP+fRsxvWscbWiWJ/xgdPbvj63X0ORcZrd/ZYbWvWtcNOK65Wa16ZTonaEAkMKfHTh5cczgtSlvP4covWEus1eZXxk4slf/D2I77x4IRf/dIpP7recrXc8cv3Tvi0XjGrNGc3O95/eMnrdyvO6oF6GJhMRldZn0ne/viMiTX8R1++x0U78M/f/ilKSv7tt15i4z1N37InFF+6fcDcGv7oZ0+4f3rEd149HmN6KfBPvv8JS+95+eCAqZWoIDieTPnBs3NOplNKm7Ppe65DzxeqkqgEt+cTppOMdx6dIYXgZD7js7Zm1wwsV+uRNDyv+Pj5jqu+4+X9CXemBY8ax4dPL7h/dIgjsut6fIwkH3j34XPaoaGLge1VDfDC/2fo+0AcIkkK0IrB97g6METogodoR3S+THgBSltskRHTSOBO2iGlRElFnheEMIAaLz3RO5IYoSi4AatzVrsN4YW2IMY4XvCA4AaCG5Bq7OEJKV9s3RjhKiP6EiEgxPhiUzdemrRSI7wjRWKEzGTk1pIZi5UGiSIlgbVjtcFoBVGSAjRNw3a3JSpL+aJHlet87OilsRCotR7ZAcGNWo44VmGsyRDSEPyAMhXObSmKOVIIrDEYbUgk1ruELSx93RCGATXNqG9aglQYlQiMlQyrJQlBHQaSHyP662bDqnXcWcxJQXC56xhcjxGGcrpHaEblTewGZnnFX3vpLf7zv/Ztbr+2R9sPJBn4/z74gP/3B5+yX1RMc4ORY4e1zDVJOnoUlVUICvbMjLKQWBVBGXo30PQDeZLsVZaUJJkWJGEwSRHwlEbipGLbOFLwKCGYTxZc77aUHpoYmZQZuUy4wRHMhKmKzArLItN0KYAa1TlKRPoBiiqjNIrZpEAhWdX1GGs3MMlytk1PqeBqu+Tq8hprDJvQIYNBassQAu9//71/rQjlvxEUyoO7J+k//W//HioFfJJ83NTMJhmHWlDEnP/jnY+JyxZ1UHGQJfYKiywsdZ3IcigWBfXOsbluUDR88+g200wznRUsnWDAUaeBpo9ks33KEj5/doN0kXv5hGf1NY+aLUd7FeebgfrG8be+fMy6dahyyn1d0MnAs8trogMjEvPZHh+5HXrlyEvJajewcorDueV+qVi7RL/z3N636Ah//XSf73zjV/j+9UP+6f/zPmVR8dPNGkJNZvewfsQ2r7Me6SW/du9lUpHxBx9/yvy44snNBpUkD44P+M5hyX/1pz8lrDpunSw4LgOlzvnoqmY2NVwvW+7NDnjc7egStE1HtB0HumRvfsB+pfnw6hLZwa+/dJteBjZSYYbIqmmY5SVX9QbXeySWXYS7hSAS2DQDUWfUvUMrxWO3pevh5TLn0BjaIGmTZCZ71kEQVeK4tFxsO06t5cHxhD98vmY7eI50jkmBtJA8eVbTbhpeeXnBSWH5aNtyJ2YMuUQbyPOCjx+d8fVXjhlyyw9/8pjYDBxNSyYmZ8vAl+dT8tzyrPH8aN1QSME3bi3IcsENmkfPllxeb3jp7oRJpvnk8TVtL/juF1+mmEp+9LOniJSTlxbn23H17RITCU3cIYZEOZuPCF/XQxLMrOW6dkwrg9U5j2+WaBMJXWBWLWiU4/JqxcHhlDcXM2wbuLSQJfjNf/Q7JCIyRfohgs4hjph3nSlC3yNTJOGJZgI+oUpD6EGEACIjhQ5pFPhmjDEZjcw0JmZjJ8pDObWU8wVZrvjsvU/RSjI9XmCsIASJDJ6IIgwdnY/sHx5jZGC5u0LFcUpdGIk0kqYTrLc3qBix2hAS5KVlr7KsNh3WGqRwKGF56WBB4xp2MSI9uGEEG8zKggd3bzP0a7xryLIZ9/b3WdYbPrq4ZtkGCpmwqqBXjldnJWaSM8vnrFYrGtdRlRX/1v37rEPDpunZyYRMsO5aTuZzfv70lLc/+ogbPMeTGbG+4WKbSHnFEAKnc8OHTUS50YNjTUkqNH1IZC6yKDX1bqCwBmMEN64jekkV4OFqTR0iR4uMV2YTXrt1i/ObHR9cXvJkVeOGjpnKQY7dNCHN6LRMiigj+2VGZg3eDTgv2Ms0ZlphpUKkQBdGYdXa9UQU9AENBCWwUo+b43lOkeWc7s2IXU9eZXTATBv6PiFEHGW3OvFsXTMtNF0QGKmYyYROgovoMEjKJJC5JXgPHqTSeBOYCA1C0nvPXmXQ0nK1a9nVLWvXIZXia7ePqUPPMHiCDOTaYqclJngkmm3dsGtbhEpoNUWmSF4Z/ov/+L/5KwrlX+Apjhfp5V//Lm3jqKY5+4uSm5uaetOQl5ZsYsmjZec6bIT5YcmQEhdPb5gt9tB+9PtlueX6uqEqMqQSlJOMoelQxRQz0bTrBuEC224HSIzJUcphVIadGobe4bvIZtNzMilotSC6gWmR0+waYh9wwlDaxORWSb3ruL5uOZmWuKRGKT0RO88JQ6QbBmSQKNJIiDQG8Eg1I4QGozNiGtCA6wO2ygkxsFk2VKUFo+iacbAhhMAFj3IJbaGVkjLLkRqkGp2KTeMhDigtSCojkdi7XZFVAUSJq3tc51C5RrU9XhuKa6idwwrJ2XLNrWqfXWx47f5tPjy75FDk+Jnhq5Mp3moyAtVM8/hiy8PNjpvdwJ7N2LOKnZf0ruGTDy946wsnVPOSnz56Ruh7jqYL7Exxazbho89ukD7yH/7i65y1PW8/eYyvA5ktqPZzpkazvvT8whtT/uxsybsfn3O4V/FSWbHJE3kNu1WHneW8eW9Okzzf/8Ejfv2Xvsjtw4LYeZ4vO+ooqaoITvKT6xWPni7JSoMznoWacXG24mRR8d2v3ic3iqF1/MurSy6vNnz73h200ixFZGh7Pjnf8drtitODBbttTe8E253jT8+e4ol886VT9guDLgz9kHjn0QV39yZ8+XSP3o8kyqAigYgmx3nHP3n3HQ6PF0gR2S7XaGvJ8pyf/fgCo0vQDX3s6ZwH6ZiaY0KEKAE5gIwMm2u++vWv8d6P/wzJgsXBEZNcYTONkpqhaWg2W46ObyOlYrs5wxQV2lpkkAztwBDdqIhhjIePIBOD2+zIqgplLC4MIEd8yBipHCmqgj/31kmEGjufSo5nawyelALhhQMN8ecS74hWBinMeACIhJCS4AdCCPR9ixARrTJAIqRGKcbhgxCkpBDKEHyP4AWJM4wbeecCQkRIGmMNbdePkUp6jCpeKAzGXt4GgfcBh4IQ0SKRV4a+GVDGoOwLoEuShOCJMTCdWIqsIDkJMeJc4O985QFfmFdkhWW5jHx+s8KlhCHxzbe+yb/3t/8OAB88/T0m2zP+19/9IXXnuH98hEoa4kCZKaqswlQ5mIGLsxW9TLSDx/WOTfLkQhAwNJ3naKpRZHS+BaGJSTHNI1qW+KEjyYQSgkIr2hTAjwqceWGYTQsyJD98fgYhsZ9XvHR8yMRm/OzyKVblXG/aUeukI7cWlutNYtXuENowkZq7e4ZBaYY24oeexSQnOTjYn/L7P3nIEAVRKs7XS55vW95YzNgNnnlp+d/+53/0l4dC+Zu//Vvf+/q/+22OMvAaDicFpbKUKP7k4yd8/vAGr8ZJiJ6UlIXk+U1NCoGJTWybDqUN+xNJlQQHE4svMi4TuN6xHMa875Ot442DOd9e7FPREVLgWV0jC9jtPD4J+mSRfeQom+EiJN+TDYKfrVb0u8iXDgv2zISdUay3PZdXNySV82S7JnhHpQSfbmv2y4qv3N0necFXyoyDXHLnwWv4Ycf7D5/xzu4GoSNfnB2QF5rHNzUnRyXzLMNHw+nc8KxeMslyCpnx6GLHUPfkUpNVBs+Cz683zEvJJmo2HpptRysj96cFR5MZy35g10cWJaAsMtOIKDA4mqGj6yRfON5Dotje9LR+IEaPH2CmJY2AXaewvsELQUyJRgq2u4FSBQKJeZmz84LaOXhRaD3YE5y3LbveMdMF80lOzDTeC853NQfzkqPZlIubJY+2NQ8We1yHjomShBbqPjDbszx8vmXdDtyZ52wTXLmaV/PDEXZmA6WFs8sG10Xu3qq47BIuSGgDL00sSicmYiD3msbVuMyzKDUzOWE5eE6OpoTkuZPnZFniyhmW7Tj5S8GjlEL6ATMpmdgCozKufcQMjizLx81D09KZkl3bc9F1bNuGsirIlWRmRin9tq15qVqMh59WiOjYtAN/+t4n4P14oOox1iS8BwUiCIIox4Gg0oSuRygNTYsIDiUhxhY9EcQgRlmv0qQoR1pbCBA6dFHS1Z52tWFwnt51oHK6PuJ6R9/WxF5SFJau73AukpolsyqnmkzBKTabBte1xCwjm0xITUPfewa/JSSQIkflORMjEbSYvGCgIoVRkzEMnoiHmIjO0w07Nn3iYjnQ9C2bOrGsG+oQWPUbhs4hsGhjMKkmxJx1G7jarNh2PU/O13x2dsbHz65pujVFOWGSWXo3Diu0Bt87em2YiAwVBq76gFYZamqwuUbESKMSTeMxJqePDlRify9DZ5pDayiMJhGJQyCzihAds7LkIGha5/BKooTmYGq4Oys5mU+4bCNZFEymmqLM2JtMOSkyolas6o7Q9rQRkhY4ZVgYS9QSkxQTLdk1PVe9xyEYfCIRCD7ipSZKQZUrcmN4sm7ogh8paEJhMstEZrjg6EhILVFCoINn6z1GQDtESAGXErm2XLW7kR7oBcQOLxIzIyi0RARJE2GuBckkNt0YN5naDKWhH82yKCvYzw0JDepFLC1IvId1V9MMPQiDNBmlDFgVcELwu//49/5qA/cXeP673/gfv1e9do8YJIqIcBHvA8MQkJmiH3qMVmOfzWboAoSHm8saUxiKiUQicSFR1wOVkaNwKYF3EVVKIj1t3WNFwhSCIp+grUQh6IeB3iWskngvabuBSWFouoFIwmYZcVyY0fcBLSVCC2IHhdBMjma0Q4P2YKsM7z1tN1IvQ+iRQqCMxrsBJXPI/Hi2yPGl1uYZvh0jvEmM0IBkxv/zJCIiagaXCCGQWzVG4qSC5NBa432k7wMqgpABXU4wuSAvBHaWQxox8MoUSFmOgm8SoXdsrrbkVc7jqy2L0rByHae3p+hO8JXTfX56doFoej5e9pSZZNV1ZL3i1n7J2g1o4Vj3PV00HE0zXAg00vP442ti8jy4d8CtxR6fna342tER8yLnoqvZm0/52bMlVaboXeLh8ysO5jO+dnTIQa555HbU55GdgpM7Uwop+PDDM9565SXO2oarpiNF6Faew0dF/5wAACAASURBVKmlmuXcn8y5umo5XzkW0xF3v1+UlLnk45sNn51vmFQ5Lx/Nua5rHl/vyHLYryqsBJTlYFKyXxV8dt5y1QbuH064ahs+v9pgpGHPKJxMXC9bfny2ROrEq6eHzMuctx9e8fOnJ9zgufaeW2WJcj0ujeCQbedpOqi0RBvFSg4cvX5IPlUUec7x60eUBxXLs5ohKFIcwC15cO82p7dPub4cQEmSlICGZsfpieDk1Tvsz05QAurdjjIvCDHiB8+ubghRgk+4fiClC8q9Q7TWtE3D+mqJrQp0bkbRtACtx4uVVgaExgdHTKPiIIWEG3r8kIgeUhovZEKMMJTgOkR68T2uR2nzwk83dusSCaUtCklwPd73KCVH/H6MoyYhDGibkxJjP1QmhAAlFSGM77sjlnN03/25B8+78WveR1QSTIoJIXkIAq3H7piUhhTH872O0DcB1/QoMXomh+CJCQiBEBVKSkLoyXJL0pKAYQg9QhoOTcaBlbx7cYnQkaPpnG9+4Q7f/vqXiaHjC3du07iWV9+4yz/7o3/MwU3DVnr+5L0nzKsCIQWH8ylFqeidQ2QJP0Qudw2zSYUGPny6pO4CTRPY1Q2ZVWRWj95LEipJBhKFFUyUJopI5xLrtkXHQFCWLLNordkMPTE69nLLYaZ5UnuIHmsZwVA5ECOlVUxsTgodm5BIQo2ewaToBofzgdYH2n70Us6KguO9fYQteLi84GbVEtX4TjFVYGXGzCg6O0ZR3/+X/3obuH8jLnD/8B/+1vf+g1/7ZXJp+Ph6zVu2IMwKfrzecP7snJXrmYQeygKbW8IgWRxPyULLz93b5+K6BZnYq3JeqqbMFjOe+AHc+OFykGdEIcirnDi0fHDxlDWS585xtR6I0eFTRGlFkopb+5bD3LBTmtXGUeqB49xyMJkRU2QTE4MKHJpEyArO3cCtvRkmAK0kqyxfurVHoSNnyy3fff0tTu4ccnZ5xlRI/uT5JZ9uWw7LOWXImO1lfLZecTqb82Bh6OuBlYhoJD4arldLbpoOYQTOD3y26fm7b77B5/U5rUjsVznPdgOp7nFRUhlLUWZ8fvOUnXPsZRkhjbLHXOSEGLlpWryu+NVbC/CSq2bFZoDDKudi04CImFwxhIGur8lUgcczy3Ma17JzkUlRsmcj+1LhTU5IPTpJSpMhbc9pWXC1rdl1np+bF/zxqmZoBhbGgNbEIjHNNc31jvvHU6584vlVyzQzLHJJTST3id7DJkS+fHqb333/IZOi4LXjBe9ebhCZ4uW9ybhBqkrOdi0hwd39klk5xYbEdQM/fXaJKnLe3D/gB09vOFuuubtfobTmk89XfHYxcHq3RMqOZrXBu4RQkkJmGEZiUZdpPt71nK+XnJYZyyZyUQ8McQBGCepri5JDUWCQaJu4XNWsh0iZW3IJiDBO57Thj9/5AKlaiCPoAaFAqhECoTVStiQJSSlkyMZuhRyQxoDUSK3QtiK6GlNWxEGTfEBqEKEmiYyhA0EgJU/vWgQaKSPR9YQQCUEQ3Ja2T/StR2cGdKLtLNPMsd0OtF1HCAMpOapJTtf3DL5BRIlgpI9GZ+jijj5q8qzASIhxoA8JIT15VgGaZARBvvhg0YEgJZ33NELgY8HqaotrW1zwDGmcXgZlWK7WuBDwg2OIgaQKEpLz1QqJYD7LWMaa7U7TuIbH1xvKMidpTdNsibKiixGjPJUw9D1c9R1DLyliZIgSqxSVAGkNbfR0VhGVQBM5yDM2TQ86cjDP6ZRHSsiRdGns6pzM50xzyeliyvFkTnSRV47nTJTg6brl0fUKgkBYRdd39E5iSotPib7rAbh2PT1hJIOhKKRGaUlWGLSSZDLDiTgKlDODc548U8QoyMzov/RdwIeB6aTAR0eUirpxWDFKcKVQhP+fvTeJ1XXL77Oe1b3t1+7u7NPevqt7q3fZFTeJE8MAGQEDYgYoA+ZMQEEMyMASEiSICCkDxkgMUORJBhYukkDAseKyqy/X7c+997S73/vr32a1DN5TmaYsFGFLXnu+9z5H+3vftdb/93sexbDZFXHwIiGwboCOWJFAJMoEQSTSi4K6ALxSVJlhJCQxRVZbiwVyJRFa0TtB8j19ii86hZoqGwjBvUuEENEi8gf/5A//6gD351j/3f/4P/zu/ntvU2aKPFeD40pprs9vuDrbsL7ZsX9rTkZCV4YYAqYyLC63zGY1SQtCH0gikoKnzAvQgs5ZsqwmOYfvh+eCUTlSD0RGEQK7VuB8IvSeus7xMSKBqkh0rQMvXpD1LOWoRkvQmSYEiSZRzgpscsTe4r2kmlSkFKFzSK3YvOinaCGIShIRGKUGn1bXYH+OAI9xiFaGROM9ShS4FChlxihTCJOwdvCxRQkygfw5XVozEKZjxAePHmeUY01WRjItsQFEH5GZwacWkQLeJwyCw3HN5fkSYYaOmtaCX7t/TFYYvv/wnFePR9zESDnTPDlZspcXrIRHWcGr04pPr9cIo+iaBmEj9/enjCrN07MVWa4QneD2aIQrDO//7AmzMuPbrx+DSjw8vaGQYMY1ogDbW3722YqXZiNeP5ryv3/vY+7OSr5xcMCjpWMTe66erNEjxZ07B1zf3HC1bnjjeMo3Xr3D+6cLvvMnn3BpG77y8l3yXPKTz6/4wZMFS9uSjSW3pjOeXSwIRlCMDZO85sOHZ6QYOZ6XHOYFR3XBJ27DqvUcmRKrAjEXnFyv6KLm9nTG95+dsWh2HIxLHlRTJlXFQmxpt5G9vOawUvgU+fh8w35ZkeVwtu0wWlCVNcF7Pjl9Sl7lxF5x8flTRMqRquDyZEHXJFK/5dXXX+HBN19FFRkXD6+QMgMpETFi7RWvv/YOahwp5zOa6x3L1Q0pGRarBX1n8U7RxR3ttuHi/IQ3vvwu9UFJs9xw8ewRMRVkdTH0QBHgE8lHYhpAV0iBjx7vPVIavPUsTy7oth7roN1uMWaIJA4C8uHZGfwwQYuxR4gBjjIcY4dL2OAtSSTyfPSCFjkoDKRUKGnQKnvxHBgOfUN37ecdu8TgAE+D7+7nX0IhhMT2W0SEshrR9g0xOJTQw/cRQ5RZKMkuWLpNREnBaFqBkggXiGJICOVFRogS7xwigkoQpAcXuF1lfOVghpDwZLli1ToWjSXPNIU2vDrZ4+UHczrf8gf/7A/51du3mR5JvvO9TzkeFxxN99GZYNu1XK433BrPsD5wZT1d17HrPddNy48eP6XZ9AST0e0sUkSigBgiQmmmuaFUJQFBJiXWe0yeUShoAsxGJSo4uhgJSXGrmmJywVXXsek8VZ6x6joikt71NMHRBZARTJa4WO8wSMpMMC8MuYDnW0sXwTvPS/MJdVmTm8jZesnHz88wIbHatRhe7PWSwHrPs2ZLtIHPf/jRL3SAk/92Xzu/2IpJ8Ppsn7ujfRYeEIkKWK6WjI6m3N0bQZmzP6kpBaxWG6z1vH10CyUysrzg8sJjguHe/gG9tcwzRQyJi92GzGgSkgd14pNFy4dXOx5fLrlYR755NOeVe/sczyYUXrKfBEeq5HLZMOotzkUudpGTVcPKtVznhsuwwxGZjGe8vD/j3khxMB1z/3iCHkv+3ftHzE3JRzdLHvY9P1oGPjrZ8fh6wU8vNjgpmNcVwXmetytOFi1HM03oHfMsp64kz063rNcNj26WSJXx1rjm5fmMPoJeWL712pz/5Fffw7WBi1VHsEvyaSTPBQuXuNi0dNkeQSisD4h2jXCw7Tuer5Y0TaJsb1isN2Syx0tBIUucC6RCsdgOUZnj2jAbjwhCsXKarpXU2ZyUFFebDefbntImZpVGGsllu+bRZkfRZ5x3npAJhIhcbANv7E+5dTDhg+fXPH++5LYyVJnGioI8jbi3N+Frb+4xKTU/eXjDO/u3CPWIT8/W9F1geb3izbsz3Lrh+59ecbce8e6tI076DZU2vDrTHB9WTA9L9vcmTLShKTPO3BIjM6Yh46JtyULHXCjiJrENgnPt6VNg0kLXd8wP5vTScL1zgz+Qhs5bGgV1KQhG8YPzBVsfSUKyNyqYVznHdUZMClkZRJ1he882eqICJQJf3GxYtoIsGkYCYuhwviaInIRElgLU4BQLTUcKhuQSadcitUfEBrQipY4QHMG12M0KKQt8zMEkVCYH2pzIScogVEJkxcBCtmqgbgmJMIYUNdIpkgfrHYmWzjb0PqNzDQ+fLbnZXRPlcNByjWVxcY1IxYvDZk1SY2IE7zq0HiEktK3H7jrWqyWd72ibnqZZseo6rm5WBKswSpLpDIFBoBmVNd41JFlgqpKgEl54dtazXnls19NF2G09MdVoAn3f4HrH04sFHz5ek/WCegSuscyqCiMV682CpIbb9FJ5jDdsWseTkxM2a4/1LU+XK67WG3rrSeTIXc9m29J7S5cE2WiEkyCl5mTT8PBiycnGD6TQ5DBB01jPJ2eXBNtTlZJ7k4pffeU+01LzRbvletdyWNbEPCGFwcQM7Sxhu8GnxDST2C6higzNgBx2yZOpIZqbK7gzHeFDpHcBoxJ909B3kevG0tuOzno8gjJXrF1gsdlACKQoqYuClAmUzCjjQOSSQbJoAtIHSqEY64ybxqN0SRQaWeaEENltBsxtJiQjFYl9SyAwqXNKJblarThdr1EBTHKo1JMDpMQ4N+jc4EWPkJFeCkz8C/Ha+Uu3vLNoBKOiGEiNIlAUCtslXBdxXSCb1wQ8fedYbx1ZVtI0jt26R6REkWA8r7FE9KwmEwKtIjJLKGXIxyUuGyYz1iYa69AhMJKCSid2K0uWLNODHO81eaVxwTIpC+ZlhSBSzCtQGmUETfTsNlsSPePbc7IcVos1wUKeG6x3ZCqgJXSJIcKbHMEGus4RvMA7gY0Ro81ADFYDVMq5DoBvHB+RiURkmHIEJDEI2j7ig2QsMu7NRozGhm3fU1UFRguCDQRREpJARgl5SfKO0PbYzoF1IBybc8ve4R6ESF1m9J1nUpbMywxZC754tuIbh0esLnccHdR8dHFFhuKs92y2sD8fISzsTSpWrmex2fGl+ZgHr+zTNZaHj29Y7xq+tl8h9wrO2paffnLNVOV89c0jTraet6c1f+vVu+xSwJnAT883/PGnF9x+bY+T1Y7f/8Fn3Nk3vPzSLTrRkwVBaByygOl+yXc/vmbWB066nquwZTI35EJwMMr46ckpD59ekgK8decWy67l6mTJcT3my0f7RAIXu47T3vLh+Ybn2x1San7j7oS3b+V8/9lj7o4qpplhqyIf35zzTz98is40e/Oa6COf3axo+pY3Zvtcrm/wrmOmDCOteP3OBF1ItDK8cTzm7rTm0+sFS9fz/PQZzz845fzzSx4/PGNxvuH84SmbdYfJwMieyeEeIpNYa5EyIiWYGAHPpDLkkxFaldiVY7m9Ap/YNRtizHEvAo+g6PyON997jeowJ6lIuTdBljnd1rFabtFqAPB0jWN9s2GxWNE2Hd67gdqqMkKAZteTMINWqRmqGNs2st45BIYUJUJosqIenHaRodcWIcWIYKBbRgHKaJzbERmSOOlFt00icbYnxuEyVMohyhi9G/p3QkJKKK2GcyHD/8vPpeY6K7H9lqbZDYAVkfA+ECKE4LD9lr7boMjYOygpasN2Z4nOgRwuc1KQg0Im9i+URw4yg0qS/XJEmY2YjHPK0jArRqQ+4boADqYSQhbZthu+cv+I//hX38MWHf/LP/s+7bpnUtXM9iSPbq65bhtGWU5RGmIGnWuRUhNiz01naW3gqutYrXucSEQRCR6UNtS5ohOKrFQ82J8wrRXTrOR2VTEaFUgJwbUUWnKrHi4mtE7UusB7wPfMZSQTORfLjo2HzS6CFyz6hpP1DikVl+uGO7MJssiZTnJenQ/vWUfkbLFmZ5d8cnbC2cWO/VGN04ZqVJNETttGslxTjgz7MudBPULLX+wdqf8tvGf+3CumNBTmRUfhOoQckRnD/sERq+2C8fGYdmtRMfHmSyMuSsltIm/M5gQjkXrHrWlJnQW+d/WMN6o5t8ww1XrSNZT5htfHE/7pBx/QRcFBXbNYb7jZNSijyFON1pq9MRSd4upyxWxiaKLloCzZrzJc2HBzdcHd+k12as1u1eB0TekSb9T7TKeGL9cznt4OGJH4eO14fhnIq5pVe8XhdM6ffHrK9x6fcXx/j152hFXGbFbQ9lts0nxgr1k9suRZzoNZRudafv3+Mbsu0nQrnm9bbBpuxX7/4+d86fYeh9Ock8sd+EjQOZVQJJ2jXaLyHaZWzEzO5XaNVQ6ZGrJoSAaEVjzbbrlqCyZZifUdsRcUzrO2YFtomo6yUmz7RHCCm75nVOWMRjm2d0yUYZMgdx1HSXMmJNfOckBBnQv2Z2M2neJHT8/4tfce8DAm9o5KdBQ8vfKkXNAJx08/P+G12zPkyPP5suXgaM7pYkkjPXu3RoyD4LOTLd/85i0+//SCxdWK19MhWynYn064XK653N7w9ddeRUtBdD2jHD5edUwPK+5WicZKPnu64sv379B1geV6x1XXkGlJqBPf+dkjJnsZt+5IijwyynKkSURt8K3n7fGc//q3f4sfn3zMf/uP/4T3RvDy/iGiF1wkT7SOm9UagqfLc764WbBsI4UBoyPHo5qDOkd7z2KbUCobfGI7S5SW1ILUI5KKiCwQYkRIBbihNC0Eoo8kASIXpBBISRDcDolHeE/sA+gSVEmKQGygH3DGRgtsCATbo/KSpAxKJ2wXEdFCCChT4juJjw1CMESJ+ogsc1Im6DZbhIKUcqKyiN4StULQsO2gCpaGiIueZD344XdsfULgCSHRtp5CRkThMBREAtvVDfWsRKwHymQ1HrOzkSwrSN6R1zXCRGyuhi5MrlHGkWV7NNZytV1yf++YUgoWpWLdtPRtohMNTZ+Yi47pXCOJbC+vWS8cat6hxgYrJaMyI9OJ4Cy5ltRBohqJMmCyyHX0pFIzDpouRGogSEmpS67aHV0bUWGYGtye97x6MOfoeMYPngdWrUDkmqyQVDtBKQR5nTEzElUUjAv1ovsTOF809J1jpNTgXzManyA5R99bcgneCm68ZxISsUw0PnC9bZlORkjXYQrN4WiM71tunGNqDGskJgq0SmgUWmhQkcKUKJPABdrYkGU10bWoLKd1PSI4sqpk1fVE6RnrjL5PLGNAtSBSQmnDygI3S+7NajoraERDUAYlLDUVMUq2LrFXKvQLge5frV98pZTIjESXgmQisg9ErxnPZtxqBTsL/brFGIHSkmbTopqAV5HMJ0wKYAxpr0RudwSZ8E1HNCWqipgeYpnoWokxiSQFvvNsGk+hAkENxLyutxSmIPYWipJ2bZEIrm6umdQjWtuRK4XWgm3boDH0zrO79GSrLUTwSVLg2DkQCKq8IEXQIsN6iw2JMk/ImOito9IlPgaklKQEUQhUlpG8Hz4XhUXvjYiXG7QZXFSpC5R62LsqIbAqEjUUOhtibH5I26ROgIqovKNtHVpKQpJkNmF9RJcl1Z7karmlHlWIEPnyvVssth6dBL/x4Jh/EU/4lw8fkbSkv2k5Phzz8dkN7x7OacKGr+7P+G7bYR1MpwVPr2/onOelwxm7tqOawodPTvn4c81L7xzy0588Yn8y4vCgpNIZVkW+uNhSiMBrt/exSfDx+88Zzyq+/dpt/ujhc/JaY9cOnwSzo4qnT1aMpi2vv3oP6RzvL8/43378hC0dX373Hr/58n3W2x2Pry1pUlCkBbmInDy+YqsEs9tT2p3l2ek1nfDceXmKDz3fe/ic5tVDeht4+WjGK3sZNyGycZ43DmY86Xd0BLyz1LFEenjSt7yxpxjJYSL/7oNbnK87vv/0il96+ZB3ZxWfbS3bqJmrAiktCkslBE1b8vTpGSFAURzw+NFzHJGiPMR5T54pVlc3g6tNa5zoUWgGGStMpwdEp+iuOmQ5pncWlQRBlwThIWkUBmUHx9nRq3eJcTdAfCY1o/Gcm+sVbhNZ3qzZdQ39EnT0tEpya17QO49SmrbvCN5hVw3ZKNBuNoOY2QtoKo7uHOP6IWmRSEgZSTZhSk0MwxQtxB6TDYRWpTKcbQfUvFaIlBAp0bUtQiuSlINk3A+y88TgdVNqgKiE5FFkqBdTuxQDMThIDN0/t2G31kwOjgcHsNSElIhJkNBopXHW4oRElxli7V4kuQIxBsoiIwaPJJAXJd632E1PPsqJOjJSkUII7o0rfhiv+JWX7vPWpOYgyzma7RMrzffe/xg7t9z4HX/0Z08oMDBSdD7w8aPnfHyzo7UNv/na63x2dUZIFYWZc7O6xIcEPjLPx+xoSL5jVFWM6govIvNihI4RU4B1DdJMMKljNM/YL3LmLmc4sQoO9g7ZuYhvbrBlxWXv0EVObfOB4m4KdPLEvkNLjcfTklC6IPMdB7OKD58vOZwp2t7jRUZVCVRvuWq3fPrwmm69YV7tIxVsbc+krGlDCxIMA+AQJegSxF/wvfAX4gCXUuRfPX7C2OTMxyPOrGbSebbrax4+X+KWHe2mZa8Y86CouHen5JN1pMwiJ13LvBI0ypAEuBQJyfFkN2xU3pof8N7ejMebS1apZq8W7FxEjgvczQ2LbsJIKq4WS8Zasm00eaXoYs5tYzjKCqY68FSUxEmi1D1f3TviZmupckPjW0ISnK3XvFVMGI0U3396yTOfqOuMt2aG/RHkmQc5opY1qQncryecrRY4byBL+E1kawN/cnPGe/sH/NrrByy2nk27RYpIKwJWZoxUx61JzcX1mr92MOFbd+/xTzYP6aNimtW4fkfNDlWVmF6jokCGxJ3ZEde+o7GK1m6RWUU1npEFPYgNleQ6g27r8S6iq5ydCGgEtrUgEtPo2cbIro+obMAy+5AY6YQiIxaKBxOJ3HSQCYwURK/ICs2DWyNOFg3T2mAmc3742RUdHV87HHOaWmZFTXSC9jpR1zVFGfmzHz/lSw/2caXk0eV2AEicrqnmYyZK8f7JDeM249ffus3/fbrhwd4E00T2qwo3zvnkek1s4LXZlGu15kmzYtXuKLiNmCU+Xa9RWvPytOLablGHU2YZ1H3AZTmZSOz6hsNyRiF7Mh2ZZTN++eWvUMk/RQrDvlZchMjUetbRs3KS60VHH9d0bpCEHx1OuF9OIAaUSiip2c8FUmd4G5BZIklDcoH4Iu4Yk0aqREweqeSQOY8JYfJhV9JHRDYgkVVpiTYn+h0i04iYhq5IbwcHV96hpHzxsK0gtoQQScFixTARQiqgJIaAkA0QSNERvEaYbLgdpEcoT0oWowZBcxQ5KYELPWw3WBSD1VAOcYugSMHTNg5dCbztiAaWvSS2lsxYikIjU0W3sYzmEwQOSUGlO7arLVEniqwkVzVF3bJtV6iuQFeGTBZEKbBNy/tPTumawOjwkEXXE/oVdTWmCZY2rrhqK0J3yrqxSCWYjPcQQXJ4UFLOSuxqQ7vrSYXC2p66LChkoosR1YOPceikakcIGS2CnQ3Y4FjZllFeogPka8ne23OSiORS8ea85mPXsWkjZYLbU804r1CZHCSnWmFJLLqGFC21EuT5wCzOC0mVgB1oEjfRvyCTJaxSlNGx87BuPeV8xy0JvZMkHyjLkmYT8CqRBdC6wJO47C3HyiAIlNog1QCP8tEwyQaISRN6Yu/wVnI01qgU6KXmdN2DeKEoEIF6lBM6Ty4sOxs4X2nuTgu0FDQuYsTgSBJKIYSl6RyTkfn/8W3zl3NJKdm/NaZpexJDH7LpPVprju7tA4HPH55ys1iwd7gPQjAuS3zqkECRK9CJ0HTDNCvPEEliioRvIhjFbm0xUiOLQWzsrSfJyKgc0wWHMZJN17FpBZlTkLVom/Bodn0C0aGVZLdsSTikkCgjiEJRqoKr5ZZxnZF0oo8KKSKZEiSZ8C6gtSWKiJQZyQ0Y88LEFz04RcpAdj2dS/SdZVIYfND86LNLTCbI8wJlNOuFhShwUiIjXPY7OFGoQmEmOS4FciwhlsQukGJPoTNkjDhnIWq8EsSkiXjatUPJQJUM337zNjmKNiSc61Gd5ut3D/huOOfl0ZhPz284akqqkeDD8wt+6f4Rm2Xk3f19PrwetALj/RlXyzVfurfPpHiJj04XfHD6jFt1Rk3G/u0JpVT8ix884fDWiF9/6y6/989/xFuvHPE33r7Hs95zfmcKPXzw7ILbd2ekjeUnHz1hcmefospIZUvf9pw8O6ecFdx+acyf/dkp/8633uQ3X5+ybgR/+PSCn356Rnm/Zn7nkGbdcv5swXg+4d03j/nowxMuli0vvTLjnXnJB+cbfNchk+TjRUfnL3n7eM5vvXLEp09W5HnGXjni/sGM/+Z3/hZ/87/4n5nlGV99MOetvRkfPl2wV4+4VeWcsyOvNT4Eniwdo9KwaHZcbCT744LX5lOM0qBKpDIYowkSiDUECDZBlEQ55bMvHlOfPUHmGU7nRC2RvkdJyWoVWf3sffamJaac4FowZo6LCuIOpCQASE2/s1w9OuHOu/fZXl6xOHvCzaZHFUP8//K8I4aINCWoAsmLCZRNWN/g+56+2YB3vPfXf4PmZoG3LdV0zMlnP2Z58THVy+9gO7A9hNgMU+/gSVHRNi2T/ckAn4oC3/YIyb8+vAU/HP6wligylM6ARIgR0AP6X2tCdKSQkFoTX9Aw+7ZBKo2QCSk1vt+xf/9tmt0lkR5V5HTrbpCYa4OSOa7r0WVOs+7wdgCf9H1DpioyBKYwOBcRGELwZMbghcA2HQur+ciu2KsNh+MR86rmweGI4/0Dvv7aK8hCY2Tkhx8+4aN5zsXlDSOTU87mbLc7xvsTrq/OeLy6YYKiaRvGVUZpYP5gxvVPT3HOM89zspeOeHa94PRiAVRYZ6grBdIxKTNa37PpIuVyyZ29EUSPCwIXEiOdoXNFGwOlsexyTe4aTFHhQo/rJVH2uLgdIEc2EmXC7bbkWYmIjpFUGKMwwPmqxcgSE3KLhwAAIABJREFUoyKH44KNlJz1HbvVAAhzaZhAIsVAAJUBhcA5R8RwLSVL12PjL3aE+wtBoTy6f5z+3t//r7g7K/j00SV/fHrBp6fXbJaD6HY6r5gY+PZrD7hVGT7fbviVl474ZNcxUWOMdDzargiNxGWBTx6tOBwpKOByuybKnAxY9xumquSNw9vYGFnngc1Jw7fvHXLedJx3O9becSAMx0lTjQpujQxZWeO9wGPxFl67nxPJOL1q6ETPV8dz3reRNw180XU8PV9w22R0ymGi5aOlpVY5Xz66xUr2RAGlkKhM8v51w32pwSeWqiOb1rSrxM1qyZHKOMoM571jWwuWyy0H1Zi8Stw2U7TvefPOPX7//Ckf3TTk0TLJc1zo8THR2gwrGkwQWGXp1o4bN1CUcq0YlRN+fay56lomwpDHDJVJLlygtx0KgZHVgFHPAkEOHcK+DWiTvxDI7kgqQ5mBbmekokuCywCy23CcG47qAy67BdPDOU8eXXPhLK/em9D1ns3WcWdW8KTrUClxcd0hneeNOwd8sV2xuWl5dTbh/t6EL6JFLxtslnN0YHgw2edfffiEy+Wa/+xvfAXvelwMvP98RdN3fPmN+0wC/Oz0mlYr3jyekYTnw/efkdcFb9454tObDZ+fXXNUlBy8ckjjek6fLtgf1Rzt1Zw3LUdCM8nnpFyzv29o2y3dakeTEotrS5ccRMtm69irCwKJVRdoo+J2kfHSXBJ1RV5m3K8NN63gZnfNP/xfvwOURNcDO1Bq6IYlSCENMSSRDxTK1CJ0SYwRqbMXotH4Aim8QKgZEo80At9pZA7gIA03ewiHzDJSL4nJQ/IIXULfInVBlInkW1BDf0CKMBTBncfomkhPCg6pRoTYE3qLNtlQGA+WaCNqlBG7bhCfZgLpM6zoESG8uNFTKDEAVoTKUEaQrECkRPKekBJ5XeJdoKwVdZnTbiObzQqVa5wNJCEwOhJdIstrrN9S6OFW3zuFVIKEQGPBVMwmOc4GhFcEDaMix7drrFb80l/7Bl+cXbLtOub5iOmoQhrQvWcymyJsxOlILiXRaYqxYrFYMZlU5KagaXc0bWBnG7Yu8cr+nG+9do/j6YjvPX3M56eXHIwrqrrE9oFMKD47X1AWUCtFPRojUJxudkgn2KZE1D3eOVRUKD9ImzMZCQimRc6u91igd44YIlFIjFFE64kEjiYFd8oJt6Y1SiduukguI7tdx7QsSKbE2g5BINeSFHM6HDoGCgGWhJGaJgTq6Ah5TZKR3A0I+Db1SKUZmYx1FyjzRJEVrLeOXlgCPfM4oppWHOSGXsBl3yJ8otKgZEbT9/znf+fv/RWF8s+xyqP99NW/8+9hjGG9a/FJ4bqe/qYhFYLeS8YTg930iCQ4uj0nKY/y4FWg6QST/QqURXaS9fUWbRTlvGaz84QXm8W6yukR6BABOQjDJRg9TPayWmM3jtA7tn2g1AkJNCExH2dEk7O+WlDmBckYuqbFpIipC1ofyIwiuJ7oBSYzRO+Giz6Vk4LDBUWuElIJ8B6RDaLjrtsiZYEyAh8FyQ/iZWstIhcUMuKsY2dBiYj3UOiSiEcXZrhwlIHssCa0PWpgAhKdh2ogvaaYSMpgVCQbSfxOQh95TVQczsYcz2rwHT++3qIizLVm3UeS9Dy92LJRPf0WXj4a8exmzeFkzBLL28WY8bwm9g6dS053PYvWc7nY8s7xhD2tiQr+6PEl/qbncFZzET3KlHTLG65Pl/yn//63+OLkgo8e33B/b597eyXfvzgh95rmquWbX3+FamT4f378BfM6x9QZ121Dt7Nsz7aMpzW//csvcaQzPjpreLrdsJaRxnrum5xn64ZUSubTgrjz7FqPmhj2spLLyxvOTtcc3t2jMIKnXyyotOBXvvkyK++4WvT89usvc2dvQqETV9Hzwc2S/+uPP6IaZ/zW629xZ2rokyf2ibXtmWcjVA7n7RbrOmpVcmta42zAGIV6IYb/B7//h0Qkuc6GA5v3IOMQaccSY8SQgQZHRMaMCEjpidGDlkg0hZcEqVHRv9g4ZwQt6COgHTJ6ipghXYesHG3jwMwISIgbTKwBCVlGjGHocUePkpa9meRo/x7Pnn3A/uwlvD3j7ttvkHwA51G5ISsMIpN88aMv2G3PODh+G/NCd/P0w2taX9ATqFSgnBWUWtN5T10o2j4AAt/0VHmGjwlaBurmUYWUmt714BMyl0PHLkZiGMiWKYE2JVIMMnvnLMEnYteyvTlhvHcXmWVs11uEKpApEp3Fx4g43KcaZ3gXaDYNWgu6xmJyjSlzohO4rieIiAiJoi4Ah9YZkoSIit/51td4b17x+r3bvPXay/S2pdKaQMN//3v/J6/P9tgkeP/ZBX/7W2/zzTde4sdPn/KTL6754nRB0J6n6w3/wXvv8HS7hhgplMQIBXLoy/ZE+gSysVRFhguw8Ff86GzNe/tH1FKSSUGR5RxOc27tHbHY7hC2Z1KM6IVguV6waFtuzQuqqqDpFU8WVxgECP2vp5S7YNltHfvTAhfBdT374xFjo2kYOnE+wHxccL3esdrsyPMC2weafofKKu7UhvOdJVOCaWFYNT27JNhuey42G374e/8HlyfnfzkolP/oH/1Pv/vX/+bXGAVYBrg0gTie0262JCmoJhm/8sYRWVXz0W5HZQzVuGC73XKrHHOlWj47WzJFs4lLghxj8pJGRhoXUYVks/I8/vCUAzPmm28e07Q9r88mXC122GjZesdBPaKuDSbC/b0RdanYH5XUmWa/KohCcmZXvDuZMK9r/vTxYyaihhoO8oy352Oid5zsIskEkszY9YJpOeagrMirinXfkMvE3rTAZzXXN2sqI7g/G+PJWK9a5koS144L1/DS7SmNyGjaQG4UIjlap/jG/pyFgM+vb3gtn3I8kfzk/JTeSUKInLc7Ap7CD/0C6T2Pr6/xKR9uS7BcbyVfujXlTlUyKQp0lvG02xGjY4ugekEWk8kTpEangHOJIAdxo5CW2hRktUbEAE0ilRnWbdkrBt9KgyTPMmQuOe87umA5Lmuk87gQGE1rPvn8jHFe89q9fc52jj4GbtcjfJbz+vGU5DQn1zumZc7DxtFs17yqS66cZa0irxzMOYiCw1HNo+h4tm65nWsKNE9SYjbWHFUaupa1s+yNZ0QHj5YWnQXuHk/ZLzI+PrthXBfM8pqud5yfN4gIe3s5y2WPFxGlNLbt+PjRkuttQMSIUznzacXLk5yYGTSKkAIKSa4DShn2ioxJZpAy0bgeqQz/8rs/HiZrMqKTIkYFunoBHckQEpJQCOmJgWGilQCdk5yD4EHqASaiBGQaEKToSSGCTAiRSNIjEKSkESmQ8EOsQhuEUiAhWIvUOS9kUkg1RDSIDhEFREuIhhS6oReYRUQQ+OQRQgM5SYIUIDJF7D0haWTUqDxHiMHXlJAInaN0AiTJS4T0pHxAEvsUX/y7JOPJCOsaXIwkORxojYxE64gIiMMGMJBAZEOEprdIkQ+S4rADEtZrmnaN7S0uBXofsDvHg3fuUKSh7N54hZCaPHlSMhzNC0SuWGx3ICMr24FWTCcZQUQCklwmxpVh5SNFVfHu3SOqUvJkt+Pj8wtc1Jxfb9nZwJ3xhPtHc47KgsddT640zvY8urkhhsherqkzSCoRrESGSAvY4NDZ4KTr04A97lxEohgXGZaAsJ46UyybQO+GiJsnIbQiuESXInkxvEC0EozyCiUkNgYUQzRPykHW7XwkMwZrHR2KrYgooWmlo5KSTOc4O/x9FbnB+UidG9oXbZJS5bigaF3Ltg/UpaFvhylKiAHrPUkk/uCvKJR/rvX3/+E/+N1bX3uLpuvYNkOEOCYYjQpCCtxc7hhXBXeOp0QzCInreYnWEFKkqDIQkVxl+BBwPeiqoG86FDAb5WgpubjekKLHqEHDFuTwOU8q4WzANQHvHBIPUQ6JF2kQIVDmiqbzyAjHtw/Ia8V23SCUwsVEcG4ANglQIRIDuACE4WcVhcYkcDEiY8QDZZEhCknTe0YqAgKZIOJJKSKTJOpB1C2ERImILgqqMqft10QgF8NtvMg10gRQYei8kQ3ZJdQAZmgD67YjvSDypRgRylAniWsDRV4hYkDFQJ8kIUZ+er4E19OrxJvzGWfdlt1WcOug5HTTsC8LPl80zMuSXHqIittVhg8ei+DRYkPjE3eqkmvbc3W95NOnF9yZVRyOc5Zdj9aS1Qb0KMMUiudPrxAm8cq9Qx5dr0DAVJUEIVikwM2zBc5oHjzYp7Oeq0XDbJzx2+++zuXO8aPTSx4/v+Zor+Ct2wf89PENrnG8cm/Clw72eb5cE13iyFTIaFmEIU00yQr6FEiVZj4bIXtJFg35POf7T85Y7wJZ0uxNRyw2DaY0vH5vj4kCEQU6Rja+o1Q5TTsAHI5GNZVRXG4ct0Zjcp2oCo1ROajAdz89I0mFIKBTIkqJVGbogknQ0RCkIgiJRGCCQCdQMaLV8LcfnUAJSUyWGDuSGCKWjoHgKBKoKMFBVBIXCiQ1gg6lNIqEIicISXqRWZNRkrREC8VL925z9PYRucgYz8eMD44QwpMVCqE1ujCEmBD5mB985095450vc+frt8lqRTmf8cnPLhFGY2pI0qKNhBSp6+GzbUMiJAg2sLxu2XZbVNJE31BNh6pEINHZgHMRaxM+Dn1+23Rs1w19H7Hdi/SEECxvPJurJSJIdDkCKXFhS0DhdxD6SNt01LcndDtLSj0pSYTKqKsMpQyJYf8jpUHJSN/aQYlgISaIQkKCSMvf/vov8/ard0mpQcsCKzd850cfoF1GIxyzYqgjfHJxzf17B3R9ZFxpfu2t2+zXU0STkJkik2n43OuCulBkCnpnyUyG8kNcehcH9+M/f/ick8WGNgnePZ4yLUek6Iak37QmNxlRawrV0feecjQiDwmTF0yqGb3fsF5bdG6Gix6ZISL0ISBCog0DaOygKOiDRueaKBLeWsoq5/xmy3rXUegcq4HkaWPCR8G8ztBK0zQdfRq66/hAkWUcVZoPfvghf/e//Lv/RojJ/6cIpRDiEbAZHsH4lNIvCSH2gH8MvAw8An4npbT4N3wnmuC4WXV893zBF6uOyeGc6b0ZaWVZXGz4j/7Dd7gJEE/OeXJzzWjbYbKMx27NtXd8ZbbHuus4e9rxxekFd16dMb91iElD1HJ0WLK8rJmbgnUQfLpZ8+qdfVrbE5NnJCRT3TMtp2zcBbgtZjKlcYOH6/l6ixjBlJrlTrAKGyZFRmEM7S5SyYYPnadSBb/6wPDj8wXRecyo5qX9ghsb+NOzp1R94q2DCY9OV3wRrph2DRsysnpC07dkpiCUgvHc0Fz2PNo63twr+dbdQ646x0G5x6JZsc5zrpbnvKMLorJ8utySy4IgAjddj5MZlYqsU0A4hZAV7Rq2N6dEGViNCo4fRBK3cBQE2XO5XNJ0PWNTUvgtXklyM6JNwwHACiA4RlmOysC1OyZGEUIilDk736Pajq2X3JsZDqYzPrtecLpeMCoqZsYzm094dLlhuW746t6UTCZuHwzEvo8+P+PVcU07zvng/Ip3j2cEofl0d04RJEdhxP15RdwKPrra0gfLrYMJRzPFB1cLfnJ6w5VI3D8uqaLk2emG+YHkwd4e66j44fNnjEvJ3q2arRacXCx5EAsm45LzwjKXOZOto8kFjQg0ouHlyR5744rDO4ZmLfnJFyc0TYN2lrku2JuOybQhFz1lVXF9taMox0xyg+gCWbKDtJNiuPlyMBNwtrOEAELmJBkI0QIRRQumAOFAJHAt0WQIkyD4F9THMMhLY4QwTNmED8MDNctBe5A5+B3EjCQKEg6R7HCYU4akK0LX/RzVhs4zQujBA64D8/+S9yY/lmX5fd/njPfeN8YckZFzzdVVbJLdTXEwKVIDRdmW4Y0MLyVvBGnhleBhZ8D/he2FacCGAE+ECMuQaBKmKQ4gu9Xd1d1VXZVVmZVjRGQML954hzN6caMBLQyybdILSXfzIgIvHiITEe/cc37f7+dz45JJiST6wwglMuiK6GuQBUlIhO8Qo6IX+7YdSEtCkGkQIiKAnIakVpJpySU3E7lMcL6PZyJuSIglqVv3P5NPXM8WtC72UdBygBCZmCVJCpQ2xFyTEUipETGghOLtt+/y7HJOM1+hlKJtIPsGBiWhXRMXDmUtAkFsIiEpmqww2TEyA0qpcUnSJQhdYCAUV1cNTmZ89qg0oK49O0PBpLIsydwbDvjwaJ+oBZ+8uuSs3dC1iUmhWStwGVbdhkKMGU5GqLPX1Dn1sRghUGScVhQ5U4R+ge0M7CC5DiBzZmdQMa87Epmh6ZUekchUCpw1fe9ItjRe8apeEkOBCJqd8bj/rfIJbTWNcyShkCpQtwFjFUOhkIDVgsbBso5oramkZKAU69AiI6yqyJYZYL1j03QUCISJnCxWjAYFSlQ0XUMXA6UwJA9X6w072rIJHVlrulgj+/HwvxHXX9QaKaTEOwdC4zYtWyNNK8AjaJuMRtAsO/zRFpkN5aBChR5fTlQUQ4O1mXbhCS7TRE+3ThSlQqncO6h8f6saNhFRWpwPhAhW94CTdb2mEiXWWox0dK4BYdEiUY4KkhHkNpIkLGfXdDHhhSHESCkLgsik2INJSiPBJ0prkFGRdCCQQSdEiCg9QHETkyMztIqiGNF2HSInRDaEFIl0iGBQNlEqS9AGl2KvZjEGiwYVcT5TaYdIA2JIKJHIsunjeEGjowCh0C6ipSGsEmosaOYNH89qRluGF1/W/OLdA7QtGJB4dDbneK/gyemKvcry9PWGr+0f8IN5zeyyYXtacbrYUE1LvvP0hJ+/d8BaREKS3JtOOW9PmYw15/M116Mhv3h8wP94tWRXCV6fzlmuM2+9c4vZasXLz2f8pe07lEVkuT8EaXj55IK37x1zNV/yJ58/5d7tXd483uF713OshIuXNT4mDu9MeOPWDr/+zz8hCoHTmb07W+wUI559eYWdKCb7Q0bJ8s3PXuMt6AI+f3KBqTK793bYKiuev7xGV3DvcJstbfjou19iRclf/rkHvLILPlmf86Je8146ZpDgFx8eUzvPQGROVvDZyTUf3p3gkufTy0s+OD7E+sCwnPBwt5/YbBnDRMJ5kuAzKimQDqVaSBGphySRgQQyESUkJIaEkfSibTpu3tF6mIksSKkB6fAyggwUyfVduVTcRCglqIRPPYo/yYxMFp8UimH/OZBc78ZVJKLztO2cdlkg3C47d3ZJ0ZFDJLqEbwJmUJJItJvE9edPUcpiihHkkm6ZOf38CbFMDPSSQi8ZT7eofY2vJY21bGZzvG8YjLaxA8u6C8S8TaMi0+kWIUqCCyxcQ1q39J7viCkLlvMrZBqBUnRtx2A6YLXeUJRD3HpOSomYJT5BYSxxrcmhT2ugLEUxpYsZ78GEjCkEpEztHDHIG+8cCAIpeIqRpXd/KLIStM4x1YZBMLz33iE+S1LtSKXkn377Mz57dMXt3RFTPea6cXi/YToe8I9+60/4h3/713hxWbPYzHh4sMNXHrzJ//SHv8eo0BSqZKAFWmnkjeKkrjeQVA86a9eY0ZhuvaZbd5yFa672pty+N2IeocVzsZjjA0gyqSiQ0rGsl4wmJVVhUbljYocUpiOF3nnXdS0+CnLO7A4HXK3nLF3LQE8pSktSibpxJApshKPJkOe+w6WG7CRJZAqpqYMDMWJkBHI65HTjwXdUCnaHBZuup4b+ONdfBA7sr+Scf+pfisP858Dv5JzfBn7n5vM/9UpEFq7hkZI8erlk8fwUtVqxuzXg8HDA8YM9rIw8nFgu2hqvBX9yesqzxvPpxRlivuaVX3MuwVtxI0buqFdLNssVroPD4yl7+7tsbObjq2u2bcWLsxnn9ZLTVUsYaK6zp+k2TO2EoCdEnzlf1zRN4nzRcHbW8u7emFWz4ltPz3CxYpBbvHNcuobPTmaknBDSUkrLdta8MRS8uFryx18+Y7UIKC2oG4lwiqJOSD1GYXm2cGSnkVlyvxxRZMtVgNev1xg95uffeoeHt24x71bEQvKd2RXf+fKaV87zzfmKz84uWGiFCp6oFMIFVp3hctEybDqslNw63mG0O2D/aJthNWBgSr53fcUitPgYKaqSvUFFComhHiGCIPsaGz0utqzqDVlpujYScqCThtZIpBmwaDxe91+fZMu6g2XdMC4sG5U5X23YxzAaFpSjgnfvHxFUwex1jZoM+cHFjHYV2LaCWIAeWHLnccs1Dw9H2GHFd1/NGOXIK+V4vG7Y3Sm5MzGsu8hHl9f84ek5Kia+PtmiGSkeychED6jXgS9Xc6ZbllvTMW1MhEpxd39EVVV8ebEi1Q5TCs5XK16ebQjR8fDeFOc3mC7xD375Z/nJ9x+w9B6fEncO9hgdWjyJQgg2MXNxsUIVmjKtmLg+22ysRWXJ69Dw+NU53338glfztlcFDCywgehJSqMV5OCIOSE0ZHeDvm47yAqRDYQaETpE8uScyIUC68kikEMiB4eWQ2RS5Kj7/pHue01CZ0RRgbRkl8iRvlcXYj9xI/QbR6kJUaCIkAZkbk7WRF9wFhJyiiitseMxdB4RPSJHZGkRwpOTQpmy7wj4lizWPUGzlWR6L5OAXhMQQYYE7XUfD819v3Kzdj3tSpWkkIlO9GJraUmefkFXkix6T1oI8OHxAe8/OKSsZH966dYE6chujdAaoXsPT3A3Xr0UkF5ghOjJmJMBpupPw3xyBAWRhMqJtu44u+qJjHhPpwN15/iJuwdYCZ9dXPPo9DVu0dJ1CTqYDsZ4F/hyvuSjl69ZucDX7x6RQkYLyfbAMjEKkfousHOCyhr2BxVaZfYKjZCw8oEs+v+xoTIkDZ3rEAhGRUnKUJSaYlgiMixC5vXGc103ZKXYuJZl29LGSF2vwSUIEdk4olcgNFFqQurpn0n0uP/YeCpdIoUgxIjznmAssizZdA1TUTAQvX9xWFiGomJoQYSILmG+2LDY1AzHQ7JUaD3gx1yb/nW6/txrJAh0WSClRtnIatNhpWJ2vmKzqjG2wgwAOgalZbPxbNY1MQtCFlCUBA9OmN4biaBbB2KWhFwS0QgR0RmKskBrgyo0k8rQOk8MLYNygDWWmBxNA1L2PTsjFUkKmjoTgydFQbJ9vMnGRKSgNJmqrACJzYm1E0Qh0UqBAS0kMWZEFD0CXAva6HCugzphjGWxWpJUf9iTM8QkcNkwsoKBLnA5sHaOpnUo3b9mFhmX+/fhhELFQGocOWekMWRd4p0nxz5aVlUaYzqyCxhZIURm7VZcr5bMvOf59YqjQYF3DmUjYea4dzDmolvRqMDnV0ve2K1YSM9ivuHWtECuM6OR5k+enqJTYNataRrHzqhkbAxbu2O+mM9YtIEHt/YZ7UxZAMF1TDeZYZboKvLNj57w4qrml986ZhMznzw74WcmQyblkOH2kLWPfPLRKW+/cUx0kaePnzO1ir/63gN+4dYBHz895fHLc4xIfO3OEWe149GLS/arAQfDih+eXXH+et0TBKsBbSUZ7k54YzhAoYgmsiUL2vMlJ7Ml8taYwVHBF08vGA4njA6m7DzY5snlFfNFwxtbA75xa5/d6YCWBjPRONfH/I+Od4lCcrJu0a5hMiiROqB0QZcVuJbOJaLsSaMxatCQ0gZyxw1kEmTCyNCvHy71BH4JEQ1oCjSFFEhtkNIidUGGG6pwCVKgEMg+MYyygPSgHUmaXriNQcreqya1ROmETy2khFKGeuM5++EZl48ukd6CEEhMT6X0Ad966nnDs8ePMNWYq8sZT7/1lGcffcKLxyeUacXRvuYnfu5nefBzP8N0vEftJfPL1wyqDQ8f3saaFTEGTFESuis29Yy6brm6uGDdXtJdv2QxO2V6GLn/9jG3jvc5ur3PeFtxcDxhujNnb7+gqga8evwUnyRRFjQxcPb8CZcnX3J11TBbrGhTQ50Sy25NrFu2xhZVFuSY+4lbEqTUYK0h+9DrjIoSLWxPjY2gEhTJ8cHeEf/JX/s5stQotaEJ1/zP/+cf8fiLMw4mA5at4/6dXf69X36f6XRA5zx7W1Mev3rJ0cGI/WoCPtDUl9zf26OLipAjWQtWoWVet2htUUlgVWZse43CQCtsHpBCLwsvuSF/FhqdDU0IrFdLbE5slZaiGLA/LtkylqPBgIiiI1OVmS5C6zxaSaTWlBnqrq+bTFSJEZlCZtb1GuUDEIjAoBry7sE+WVpiiH31SEnuTMZsul5dNjGSqcgYCVlkruuGiCLlH68D9/8HxOTfB37l5uP/Dvhd4D/7076hh8koOpM4Oh5yERtOnrzmjQ/vonVGDjS/8fFn5GrIs9eXaJWpNw0tFa/rzEItWcxrptMtjt7YIhuN0YYvX8zwq4Dac+idLQ6PJhATJYH9oiDnyBtHdzk2hlZGbg2rm76IRwvFk3k/nduRHYfjEivhmycvGSOotKCVgaQEJ7MAOuCc4MuLFSerFevO8Wvv3uY7ZzNeXCdCtDjniGKLe7vb6BywC0nUmoPhkD948pJjUzIpd1iHwJ6FN3eH/Myd27z91n2+dXHCP/7iFZ89OyeT2alGXLaB//XJK9YusnUwRdUePxyD79i0M1JwdAvPYhSZDAf4UnFwXDIal3iv2N6a4lYdn19dsaMEb93aZTjUfP7FNaoqKVSk856BVOgkmdohMntChMZrRkbRCg2Nw3hPaSxZCZahwTgDXWaoJPcHQ56njrMQ2AstX5kOOVslTsOaSGYcHPfvTRhheTVb4YTk64d3eP76Fftjy3BgOFuvkVPJpg1UvuL23QF7pcUHjdSJqDMP70450JrvPZ1xWnaUFj57PWfVNUy3C94+PCIS+eyLc3anA4qh5tWqYXO94bafEvYU57UgdI59UxIaz0xkHrSZx4/m5CbwjTeO+OLVc7pQY9WQCZlaJbbllCw6TldrLnFMCotLCZ0ShVJknZjm0IhIAAAgAElEQVTub7PdRNrcMRxOyN4jyoLcrMArgtRkbRAikUIBRFJpUdKTQgaZEFoThUBai4wd2UUEBblM4BxRWHJOiCxASoyFkBoI/cYJ4SFolDEIYfupWJD4xiEiiFKSTYEIiWx8f7PtBUI0JFEipIBcAImYPDF4chB9ObpQhM0KqTVCVsQMyngSGhHEDe7YE6NE3oBWyAqpFSk5shDklJE5kqMDUaGUI6OgazG2JEVF7BLZKowcgPBEn8gqEoPnkyen7ByPb6AZCWEnJF1DO0TFCBZSMGRZ0PhIFIp7RxOcEKQoMU7RxkxIEbTFhsxgKDifL1BRsMhrrJgw85JWC8Z2TMyKWbMmpkwpNaYskFZSSoMko4RGIblqA59envCNN+7zjTfv8Z0vX3C1DOwUmqR7nxBS0fhIpTXlcAhdQhtFd+OwMkqRpWCsLa3LeGWQ2UMhiV6yVShKbZmtGoQsuFhHhpVguxzRNA1JCkoraV2HsQUpZi7XDVujvic8klDHHgfdAU5FtAcfM5UyWJm47hyBQFEYls4jrGIkEq7bMKgqFqvYx+RywJaWK++JqxXTssIjqNsfl7H1r+31/3qNBAg50LQdAkNpLVFAU9c0LmJUx9Foiww3HdmW66uGye0pWiYW59cMtURJjVQJkWG0VTAelHRNpt50+OwRZMqB6f9Wo0CUlrL21KuIkpKgMyJ4Ki1pRYEXkSZFiqhQAlzIKJVovUMNLKlpGQ0yGU+K/aTPxz7REZVECU266XianPEpooWldZ4BiqERuBwQ1ZC0rpEhgo60XYSYsYAuRmx8oPG9Z04KQ5sdVWlwOZH9j4i9kpQVKgtoFehEgQIkxgqEGOG6NdkWCCuI3QZbFmjV4h2sw5Kno5LBLPBqU/PWeMDnsiGsInd2t4lNphNwerrhg70jPr284uRihVMDtk2F2pI8Xa74YH+Hl3XLe/tjvlWvETliqsS3T6/5tXeP+ech4g+GhI3nf/vmD/jgK7cIWrESNVsh8q3HFzjlufPmEf/ssxN+6q19doeHfOfpOXO/gmYPJwJ7d7Z4+2CXaaf4v16cMNwaQY6EdeTbj15QF4nhvQHLVxvWOy1qpLi7N0S5QKc6Hrw5ZU8N+OjTMxhYHtzf5er1kqcvFuzcnvLWvV3cpuPJZxfcrgS3D2/zd3/16/zuH32Xj7+8YFEHykJzb2cblzTb1zO+eDXnp6e7HE0mvLpec97VHDnJiMSdvW0u65aUAisXuWhbPPKGKtlDsUgJGfq5g9K2j/KSwOobGXfsD/ikBlpiCChb9pu6AEiNohdiK5n6GD4ZH9yNgk2iZB+RVzITQ3MzzQuQChIKfzP9A4mRU+ZXLbOzK0gO594GEdk72qbcHZOTJ2vF7MVLEgNMMeXpy3OSbxlgMMWEg70BD7/xPiEscM0MZKJtHTv2inc+/Hm2Hx7w5bcEn3z2KaRbvP1GRfRnDMdDlJ7Sti/48Gu/zNmX32NycMz4/pj55wsMcw7ffJvgHMWd97GjiuvTOcutjuvVjOg842Hm7Q/fpXUNFz982R9oqhGEFWa8wbcjfFVjTUGXDCEkTFkyNAOadYtQGtcFygKkkIgSNtcdjcooEk/nl3z3csZbccXF2SX/y3e+xM9bqqqibQLVTsXjyzM+n51SjksGTWTWbPjtb3/O+9dr/urX3mN1aWlxPNwdsb8z5tMnz1nVDQvnqaRmqywxg4IuZ9Z1w1ZZUZUl37i7w6ZZ8/bWHnujikzg9vaUROR13SG1ZjywrDfrvtKQbL/20TCpLCokHrc/in5riuGAqoBlDpRC4XzE2r6/2oTMYu0Y2xEmhpv35iXaGgoyLmaUKnA50YSMIhIDmMGIyVgiO8tmsyJpiQqKH3P/9ufewGXgt0RvIfyvcs7/NXCYcz4FyDmfCiEO/p++UQjx94C/B7C9O+X2+BYXdAR5xfTwgKbzbDYbJlXFYrbkcTGh3SwZGM3suoYOTvwZi0YgJwc4IVlebjg4LghZcPnsAjffIKTk5FXN5YXnJ37mCJsTs6bj0YuXNJvM1tY224cDNiqjJwek2GJly/nqhIClKixrBbcnY2rZEa4W5NGEKgdqH3FTy3ULVZEgRy7aDf/2O2/x0bNX1FlwUjueXJ4z2Z2wNxmju0g1AZFKHpaCT0+WfHP5migil/MlG9fy6Ury0/t7fFiNuHVni9969AX/5MmnxFSwOzAsanD1muv1nOVVy+07O4zyhnVVEFJHwnH9etXnkJMl7VV4HZmIxNWyx8riwOwJns02TGzkXAvcmeTt4YRbxwOevF4itMBLxTx0VEXfR7JW4wiURmB0BcEhC8XYllgKUuPYqIIcW6rBGJU8IQYOBiVfrlYUZoCghRi5tbWFUYnZ1TXv37rF2WLBbGk42CppWseD/S2uZzWnZ2uOtytW247Pnlzz4HhCUUw4cZ7NasXIBHaKAVvliGeLOWsHbwxLfvXeDr/+veccZM29NKB2nrPQ8bN7OzQp0sSG6aBgWmmKIPHG8P79Me0K6nXg7HLBwcEW69Dxm59+TDnc4u3pBNeMWbyeszccIXLA+x6znbQgSc0mWnLosLbCJI8LnuFa4BIMSkWlNaFQpKwRToAuEFHwI5KUaJckYRCyjyRk2UdGpEpkaaALvQdKSoRMRFWBiBAjItdkLKayuFb1iGGtSSb2qcw07jHJaQMIfuQP1coRBKAkRhowGu+XIAOCRM694ymFgBIRERXJ00cYTUHCIXIE0fWAlKjI0oFL5NSCLXrykgNZaETRQwNEUpD6DYHWvQ8vZoGRFVL1wtDkAkkKSDUiWQwdwfcETKE02g6J7Qqk54urGb96/4gsSiIOFQMK02sXQiB2CaEL8DVDrYlItsdDXBGJ696JNlKanBTDVOCUw8dIcpHGZXYrw9AqpEoMsRyPKxbrVU9X1IKjrVEvzzaaEDNaSVJhED5jhOCqDswWNQeF5e07u7Qvz8kpY5MjKUNhJTYlggSjCspxpl55ApFiYIhNYJHgli3Y2i9RydCEljYFRiLicEhvKGx/sKGKik3XMDIGRcIgKBCYakzTOQIwGkSCbzFK9a7NFJivNzhTEI1C+oyIiuWqJfuGpEuEsBSlxoWESYIsIaWCbDOHgzHz6Cl00S9mSiOFJHaBveGYPKn+nMvOv1LXX8gaWWyNyDGzuGiwE0PdRiaT/qBys67JA8loWOKSxMiMFYKt4zHLVY2sLAWS62WNtQZbWKpKUlQlQgmkdsxnDTkHhtsVZVGiREYQCV1CFoaRqVhfrxiOLEnKvhuNJjgwQhBdIEvFaFixCk1PtnSBalCRYocaasZa4VeB5cZRlQVSJCgyOEfXeoLUGCVQSWPxCKFwHoKImA5cShQyooTk9u6Yy9kaqSTzroVcIqTFmoBRks4LogiE2MOepAB0xgYoCnmzMQChBFZBP2cHiaIqLZ3rWC0i0hpsoehComsTz86uQJR89WCLbz4/41Y5ZKY7lteRNiaOCsOFCDw7X/Fgd8TjS8+d/YqT8yWHpWJ7f5dvv5rx4HCMbzM/fWuH713McLFCqBXLlePru2MORopvPT6n2i1Yrxw7OwW3jrZ4/fkl587zy994k7vbQ377h09ZzDzKSqYTjc4jPv70Ge9+cMz+xFK4wD/9+Bmv1yvsdkmpJWfnNTG1HD884J17R/zu7/+AA3a4e3eHh7sj/vjJKfuDIV/d2ubFqqEVkW0Ld8SQK+XZPhj1Me7riBqVDG6NmD9dYlPFR/cXzJvMlh6xbhzrTeSe0fzsrR2mShNc4MuzDYPKczwtKOW0n4ihmNUNyQuu1p4mRz5dbHpACRGP65HvakAKIG3qISahB5VE4VDKcoNW679uNbGUeBKR0OPaQx+pVLLkpi9ATAml6SOZ6YZ2iSTSg3tICZIlEYnSo4JGcvN3QGINGDVFEvjiy6fE6FHiHfLrBaYcYIuCHDVSTWgVIIYUaghZ4oWkmV/RLVu6FFmdrlguGsDzzk9+nZ2HI1JsmRzuM3j1Oeuzc977hV9D2g4pIXXg2jukxnP0xkPMWJFqz3irRHGfvbsT2lWNGfV98dG24sNf+nnOvngE3rF7900mbxxy8r2X3H9guHX/6zz+9Icsr6756jd+jqdnNW2bEa1DGktWmZw8TQO+66gmQ4LrcF1CqUxMGSsiYDDK4NrM9x+d8Ma9Ib/3gxPicsNgMCaJgp9+/y6z9ZJFs+FkMWeqLA8PtymWjnrT8eTFBXUb+Vu/8DXk+pr96Q52s+T4YMJq0zHUcLluaZLFyMy0GFN3EUOgSY53j3bZLgveONhnsjdCpogxFZMhSFPRVJ55E0Bmlt6zP4SlD4Q2UBaG7aFhLCXZWiqtuXv7iPPLFTbXRCHYGQwJMeFDAtmyZYdkYDAp8D7RhYh3iq8c7/J60fJivmBcaGrvqaSkTg7hPDJFJlqxyYJFU9Oaih9TA/fno1AKIY5zzic3C9D/AfzHwG/mnLf+pedc55y3/7TX2b17lP/+f/EPODDwfS35/JMXmAFoU7LtBe8d7vHbT56zii1TW3KwM+L5yYyje/u8vlgwEppFbJlaQYnh9GzD54+vUdFTjhQ+erwLlLtT9kcD3n3/gIvgaeeO5VnN37yzyy99eI+zRcsfnF5yq1KMjCDqknnuODndoERmHh1bUrJwiYESjIYj7owKPr6uGQXPe0f7RCQhCn5+fws51vze2VPmtePYVRgjWCY4mV3y1nTK8WDA801mnlo2LmLKkvf3LCopZpsN7965x5+cnfMbnz1hWoAqCkzrefPWNqLJXHYND4ZTgkx8dnLB04sN072Ss5Mr1gtHWSqsNuzfmXLr3h7takO5lHxwb5dyV1G/WPDPXp7hVoKqVIxGJV3K/MLhlMmo5HTjuF71JxojrdFZ0iRPKSQbZN9AFx5TQd0lRIBSQ+MjGUXtAwe6wBSWLmeoPD88W1Bmw5s7Uwrr6Eh8eeWJzYY7+9tIJGebvgtojKcRGhkyL05nmCB5790t5iuPdYLFZsVJGxhPx9zWmeerhigFR9tj6vmc2czx7/yVD3nmAo8en7FvLD+9t80zMefV6w2TqDnc32bWBU6bhnfGQ1xn2JgWLSRDTB912zNM97bYj56ryzmfnK/4xtu3idcNufMoabhyHSYLmtj7h2KWtEEQcktpDWMUWSnmaN7al3x46xb/wX/535Drm45WKUFqyBGCICuLFB1ZJJRWpKDIsQEvEUaRRUD8qFGtAlla8k3RN+sOooSYUVKRRSbfoJVjlqCAaPuJT44I/E1XLkDwiKIvRgvvyTYhrEXETGwSUnuQEzIJpQ3ZdyTZItIAIWoymSxH5LBGxIwoLEpYcowkkRE6Qu7jGMghUm3IWJKrezS90T2ZUmcIjpwFcjC4IVV6YA1miEgF0a17gIrseoJn6CmXHo10DWJQkDsBqUMaSc659+qpgtjU/PW/+UsMC4kuLZOyYLnpaVr4jHSeZYbVIlCMLGWVOL9aIlNGKs3xcMRbx3vMupYcBNYInq9qRO7YeI9RA4ZDQ9s6KhmInWCZJVL3ZfxhVfLB4W0KK3i9WPLZxYIDoyhKw7x2DAvL/qjifL6krCzLxqPINCnSJcF+ZRmVFoUgxUzjArWANnSIJChyIFnFQBWEEBEpMC4NWhtGso+TbY9hVaceSqMDRuleNWELtJIIEvXGk0TmeDRib1Dw8ek5UUqyi72/KEUGxYRppSktlKoi+TVNAi2qXhDbNSihufAtlc5MR1P+o7/9D/+NoFD+Ra2Ro+O9/NW/++9y9mpBMShYX68JIfc01kqxtz/BGIM1kdYlpJAQPC4nrmc1dlBRVoKcC4yMBCepyowLCkNk7R3KZ4bjitGkoF61tCGSgqDZbCgKi7IKZQVGGGLsNyylEkgLRInz/ftNYSXBB2oXKSrQyhC6Gk+BIdK0veOqy479yYAmetqNZyQywgr0cERzcYXOuo+AopFKYozABU/nBUZ4hNEUSpK0oHO+V5gYybgqiU1L1qaf9nUZqzWb0OGDZzCeYqt+81ZITXe9Ro8qoousG09sWybDEjnUXC5b9qxmvUn4FIkpUDfwxp0jbimPMoInVyuOx2NeXa8YDSsWdcdgYGh8YFeVPK+v2FZD4kAyu6i5NdmlVh1f2dlh3tU82BszlPDR5SXXQZHqlneHOwwmij96dcH15ZzV2YqvvHOfctfy7PklZ8/nPHiww+HOiEcv5hwfTEgdtNLz1aNdVq3n408vaXUgGUlVSJqLGrPf90/v7O9x8nTGbLHm7rs7dK3n/OWc3cmQDz58wPd++ITVvOHo9i4PtrbpVOSLZ2e8+WAPqy3Pz+csNi17VUnjE7HQfP39D9iykW9+9Dm3tgt+6s4dJOCd43A04YM7h1jj+e9/8BlVBC00D3Ym3J1W7I92+e6rV3z04pJX1ytmKeFU5tmXT3qdQOxx/0ZJUmwxNxO5mC39tjtBSjcAHInSEm8EMop+guYcUSYUkiglKbRIa/HBkWRiIC0y9X2wJCUSB6EDOSRpTRQOfA9HAd1P4JJBpiVIQ2JATJBkptAZXAt0vSQ8S6SoAE1nXR+DDrJ/jSABx/7umM41LGcbZFGRpORw3HDvKz/F7PSc73/7+wwmB/i45ms/+Q779yZgIzHlXtzTOoLPhJAg9MJsO7QUlSEB3bxGDQc0V0u2j6ek7LCVIcZE5zWnn57w3l/+EF+vEd6RlaStAx9/dw5SEnzHcFjiuw4XBAiBUhlXO6IALRVSKqTJhKsOYxQfHN7hv/37f4sftif8wb94iSGyU1U8fOOIR9czmo2jbjwiW2KKyByJwOF4iBeCk9M529MxhYrYaPkPf+1n8a6m85LrTcN103Ixq3ly9ZpbVcFkWGKlYlRazuoapQfEzqHMhqrcYt16UuzYthotJcEnLpyjKIfI0GFkYms8ZX884mLVYrXkey9fMVCWkB2okpLAtRe03jM2EmsDq9qRUsFwVDAdWbraUbeBxmeMzoy07KO9SXG6aDmfzXjdNJRGMzIVk6FBxciybjhbt8zqjj/8R/+Eq5PzP7Ns8OfqwOWcT24ez4HfAP4S8FoIcQvg5vH8z3odFyK/e/KK719cM7u4YvdozBtb+9zXY+qs+Z3HL9GjCgKUpUCuM6XKNOsNVR25WyoOhxZbSAoZefnqkhx7IeK6y0hRIoRkYgxSNLTBY80Wk6pkuj3gOnZcO0dVDdgV4FvBi/mci1XNUFqOphNG1YAH0y1C6oWgUkqm3nF7OKRQmvF0ykgbTuuWvWHF21v7PCwMd+QBt8QWOzvbVDsTOhyTcpv9rW12ppb7u4ayc1yvNvjY0aXMYaF4azzk97/3iL/2E++wayrcKuJWnozhZaPoysD2WHG0PWHuatZtYLJdcPl6Q+o8pYAUFF0XCNc1d1Xgna2CD24NOdyZsC2nPLm6RokCXQZaPAvX0XnH918tuLzesFcNeWN32BOcfP8GqMUN5KFdodIKVQ6pgmYooPOZOkusnaAzGCPYBM+q68hkBpS8OdmlzZKrpsGFgspOOdyb8rWHRyiXeXa1YjitCDJzedbyjiwJud+IHx1vM4p9NPCTuWO2yUzLAaOi4qRtePt4zL91tM3hsKIZDdk7nnCoK9Rqwbjob05mKWNjwXv3j9jaGnO93PD09JwHleXTzYKLzZxcZ/aLQDPo+Gx9zT0EOyRmUnPVZX7qcIdDIanKksZYnDEEkZi3NUlL5n7Nq8UcnxsmhQAfGNmCNjTsDgRbgzGHE0nu5kidwPRYf7oAPiNMT6BMHeAEqUvkrunJaUWvBchRIUToCY4YRBcRykPsYBMQsscJxxiR0pM7T1RDBBJcuHmuQMYe/5tz3R9IKgs+g3cIKxFWQtNB6jdVKQDG99M0kUhxjTBDyA5hDEooRNgglUVaQw6apApECOAMOZYgYv9vCitELhApoQwI0UF2ZOlJviGXCgrdd1ZEQhQC9BapyyTnUFqDED0dKwVyaAlRo0UBZkTOAlQGTd+98pCRpNAhZKDNPTGz6zzXa8e8bdi0gTZKYqnZ1A1dCpQGtABtFfvjMXf2JzRK8ni2pO0UqrDYouphSaZgy1YUlWZk+2l3SIqqLClEf0OhpeRyVfPxi2csNg23dqdMpWbjM6vWMTASkQObUIMyrDvPUClKkSlyZmQrsrF0URAkBCUoCssw9wdLpZHoomJXFxwNSnZLjVKCk2XD5bomiUiZHau1oM2CrDps54mtI9P3ATdNQNSeKmeMF1xv1pwsF7Ro8BFJJkjJ0BpSbJjXDb6F603HdDxGpJ6ImYn4UrEkImrH1dJxdrn88yw7/0pdf1FrZIyZsPEMBobgOsrJiN29MQd3ttk9HGOMQBhIyqDGRf8LK/ups0iRwlimkzHTErJzZBFQRjEaiP6wJtBDSITHOY80Fm0KshLUTe6j20niukzd+b576gICSdMkWh+JKaKtIRiJy70SJbueNOuDwnWJuo4UhSVEh4yBzbLvi4oImyDJWfe4l1QitEVXFl1alOq78jkqCmsZFgaTZe/lUpZclDdS40DrHCEJtMkMioy0AWTvVxwVikIkZCeoFx2z2ZyzZQOFR1hJyp7oEhIwVUlloJQj3tyfsj8dIhFkPBdXlzxa9Qdq79/a49l1zXjXsNlE7u5usdh4ClOySI4HR4esYoeoPdO9Ac9nr9mpSl5dXvNgPEYFWHeBh5MRI2Wxgyk/mC943Tge7kzY2xlAoVi1NSwaqtGEu+8cslo7LjYdH753h3XT8fj5KW8eTHhzb4uzTcPTxWvapmVUGkpbsA4tYZ14694he6OSOnc9kr/ucK1nMBqyvTdldnZFKiuO3jhGA9/+5CUvLpfsHW9z9mLNp99/BQbu39vnah149eKara1t7k4Nn5/PePr0NRdXHb5d4V2HkplZveHLs9fENvArd+/y3t4hR4OC3cGQnXKIE54nl0uGVpK0Jg0gy4iRJfiEVPQHTFkDlojF+4AKAUJLTAGSJmqNtwovZQ/4IoBzeDY9xIR0c9fre/UNEokkJvAykWTfX0pJ3kzqFJAgB5S0GD0kokD2/l50AdoitUJZDVaRZCLJhNeGWA6JRS+2xjqKJClT78GMN4/IxNn5jOtZQzS9Koi04eIy8fzRczabhBnuAh6jDI++/0MWpx2xyYgbR2KIAtcmBJpMfzDbLmuEBFFVzC9rXj0648XzL3j16AIpFDF7YozkEFFS88Xvf8rpD84IS0U3DwhAFqafXBWaum5QuqAsC8pCEHxAG4GVmrLUDCtLqWA0Lnl4dMR/+te/yndnr/jff+9zQnS4nJirzP/w3Y/59T/+Ib/5xRnLRcM6elx0IPqpns6CphW8f/eYdedY1yBKxfW8xlBiZOJoPGSvGLNl4e64og6ZdfYMxhVJSwbFiEJFdscWI8e4HFFK8WBniq5GmLKgGE/RJLouMioKWm+ZtS0nV9fsDCWVgZHSSKPYGU4ZlgYXNUWp2FYarWwPyMmaxrWczpZ8+XrJunVoKTGmAAznm5qnFys2wbO/V3Brb8KkLJjaATG0EOBgb5vpoMBYy86o6hMDP8b1/3kDJ4QYCiHGP/oY+BvAD4DfBP7OzdP+DvCP/+yfQrAJhqtNy+a1Z+gNp/M1K7fhvJsjBEyUohpZXl+tGJnE3dEuh7bkeMfgU2SvKKE2vDr3OB+pqpJUlFRKokRgcrBLNS0wozGpKtFpjYqwuz3h7f0tFkHwxWxN5yoqXdK0ic/PT/nu0wVXK4dRCiEVHzy8y6/c3+crR9skUdC6jnf2RxyOh+yPh7xRDXj7aAKDwA83nq3xiA8PJmxXJXQ1ZSxwvkPi2ZtMeDi0vLu3y539EQ8PdpiaAlVadvdG/I0P77Il4Cu7kklhKaSimkiCc6xT5CvbR4y2LU8ur9n4yNHQkEJH2whigNBFOpcx2XLLjri7vUc9sizWV1yuVty/cxtkJOaMNpKARAi4jC0vZhva9f/N3pv9SJen+V2f33qWOLFk5Pou9dZbS1f14q6Z7p7NY3sGa0ACCQtZyPwD/AXG3CAkVNyAhKUB+QYJIXEFF8jADRqPGhCe6Zlxm+mluvbqWt79zT0y1rP9Ni5Ococ0Y7qFbMyRQilFZkZGRGae5zzP8/1+vo7jaYZUsImJnWvItCMvoTA5Slb42LOtHSlllJlkJDUpOiohyRlhC4NTgVVX0zYdY6V5584hQmkedS1LHzhWhqfLHZeuZVoIiqS4dC139kd89PScvBF892jOpIicbRLnqxaqSJxa9qoSv7piMjnEpQwRNSMX+PZezmsne/zhR0/xbcbf/ubXOJxo3ru8YCrh9bKknVrWuuE7r73KOwcH6ElBNIqHsxGFUETfM9uXXPZwerahWfccl5Zm0/CDR+dcxEQ206xcQ9sJSm1JHjwGJwXCGqZmyLc5366x1nCyN+JoPqUTFgIDHSsZ0COENYADt4OuBRkgKwALqmBgzg1SS4QgRU0SZgjtNokUe5LvEXlFih68J7ke7xNJZyAUUSdQathmxSGgPcUIUiHzgSqVtEFoSTQDiEBqNQBP1CDZpHVo2yOiR2CGCy47TCCDygcwiksMfOOe1NdEoUhqQ4w9MuUItSX1Dt8FQr8mhgjJDs2YlKhSD7JSJ5AyEJ0n9Q7pBUZYkookld1m8SggR5QGJboh/0d4ELfIcmPwvkcVFogDbtzmjLKMbdOj41A4XA9pF4nRY0ViUpZUI0vX1sOwSFiOq4qxVISoqPsOlfUI41i1GzI0WggmVUFlcw5txn6pIUIjHS75AYEuLbPK4oXkw9NLOu95/XDOQaHYtR01AaVh6wJSSGQakP9mlHMwm5KVlq6rB4iNjxAFKTrMSCGUpmk6shQo83woZuOCsiw4mY+psozGRRqVBoS6SEgv6FWOUArpI27TkgdPiwKbkZcZnRc8u9khRGIyUhTaoBrHrhvAEavNlrP1htrVbNY7tNZDfEvXDlL24Jkwo5kAACAASURBVHFWITN1S4r7//7xS62RMeFJ2MJgMotWIEWk73vqFjYhDV7VCJnW6EJh9ku0qZjOZ4ToaDc1HoE3GdZmaF2QYsB1PZm2jLWiDtBFgbEDPCfPBKWVyKTIS4PWCucjERhNcgKBJBJt05LJwcvaNRJrI5kBmSKERCSSvEMKTUEgk1CojG3foX0kA2TSNK3Edw0+JYSRaKmxwpFnBhkiWW4waggsFuZ26i8Gn6m2hio3xMAQgeI9eVWR5yPG04p7bz4kz3LKXBJdy8XLBY8/O2d5es36vKPvHbEPKCXpvKPbJFTUrJ1j3cG96YS7e3tMMsu26WjblpVMXFx2vHo0YcQYPTFcL1ccTwvq7Y5CaOK2582TfZZ1jdnB3ZMpz89W7EzLJ6dXZNqwC9D2iUlhOZoYipnh5+eXXC5uePveCXfuH3BxueK9T19SisikKmljoF70nF+viDrx2htH3DWWP/jwS56dLchzw6Q0hBvH2YsbqsMJB4djvjGqiKmnrAyTwxlnz25QmeWVhzOSgC+eXDGtCkoznI+aMAxnKqa0MZKVI+4UFb52JOWZHBgKFznfOparLdk4o/GRHz29Bp2YjDJsBqe7De+9XFKqyIOp4Zt3j5hOC9ARS+RHnz/lyc0SUymKCN22JagBGU/QqCSQ0WOQRBNvM94AMiIS5OC7QkAQiQyNoR82XTISlUQagHYIW9aGDE0eh+xTByD1QLOMkigzwi3gxPiBkukkBOkIw1cTsUP0AOn2ubUEvyNoB1pCBNBIqUFakBYXEwaNimG4K2qUATKFkhKQOC9RImPxYsH1yx1lVmAkZIxwquSLT37K+Zc3pFiyPKsHhY6T9I1HaUVejbDjguunG64/v2KzXvLkizNuVgUffPQF/TqgsmGxkWnB/W+8wifvf8oHP/qYH/2v/4Snnz6lvhnmn0mCcx0+BLoAPrYorQZ0v7GUVU7ykbbtyKXlb/3Kt/kP/9bfRN7J+OMff85erhhnY540Hf/46XN+/PSK61XN8/NrRKaQIlDYjOttwJqcg70pIwveBb75YI8+BdbNjj/84U94efWSURbxTc/Do4q3Hx5yf3bApNDQOOo+cHdekamWGGtMYXl9b0whLCq0VEXBw+PJQBWV4EMCv+N0t2ThW9a7NS8W11wte5oQuX94yKxUyKiRKqGzSOx77EiDktR9oMgLsixjlmlUCnTe0RCZWKispgsDeGnTdlwud3TJkynJ1nf0MvB0ecPpzZK92QSZEtO8QIq/XI38RTxwx8D/JIYfpIH/LqX0h0KIPwf+eyHEvws8Bf7OX/RAMUauvrigOpiTRj3rs3OWux2mMhhTUMmeq1VHpwXbdccjdcOD47s0bcN4bPG7gG8Eh0bz08Wa0LVEU6CSw2SaaaVQhYEUOTI5v3vvhKfbDV/uVuybnrLY54OLK0ZR8vbDfeq2obDHHO3WiC6RWcf5Tcfh8Yw3bc6d6QEbL/ikPSfTkrnYMcsLvnN0j792BKt2wf/8yVf86OU1v/X2Q6Y64MOGn1/U7HrP3nRO3wdiiswn+/za1w75sz/4PidofvXuXS5WN3y42PL12Yhdu+HNe0f86OwJWZCktiFqyeJ8zZfBcljNYT4mhi17d+5w53qHm8B61XCz3JBZwfVywx/85DPCZMRElLxzvE+ya378+ZI2DghmETqSDzSyxIiW005gVivm2Zi35jN+8uwl2sNlEoydYr+QNF0giYrWKOrUkCuHsppSgQsjdHAD+QdN2g0r6ig2lKLkMDO03Y71rucbJ2O2lMg+sl21nJ7VnMwLHjVrRrnkYFpRac0udTx6eU4TPQ8OZqRM8Xy9YCxz7it4ue54KQKvZiPeLgrO+0CremZmxGgTaTaRqpCU2vLpF9ekPPHO4YxtE3j/4op9oTg5LqnbnuWiZzLRnIxHvGgluWt4kCJ2bHmeOqrWcpTDrmlZZwpUx+5yh5EVwUfmOsf6RKMlhXPDVFrm9CHH9z3/zZ9+QQKSbxDaDNuvPIc0IdFAisNGqh9CrhEQVQYxgI/ovCCEgYQlUCQNwhiEtwNFaxdvG7EAUSHiDpxGmAFmInRB8vVAcyxyBImQEkJohMwAjwwS4QyBoRlN7Q4hclCKUEOiG+INoiLiURJC4wYKl0iImJBlRvI1AYuQFcoYYurRtsAnh1A7UAVaGpxvkKqArkOonIRHeE+0HpJFKkOMNVIIhIugS5JIRBcQDPItqSH2NcIaYjdEC0AiyR4vLEKoobENMFKBxiiUyNg0Nbvg6GLC1pFup3l4NGXlPYsbCJ1jf1qyaDqWyxU6L4g2stm1CCcZFQahBqjHph1kJS+cow+JzidmhQYT6QJEBpP8tFR0IfLl1SW/++A1VnsWfbXkdFWzCYPS1WaaxgdKm1EmjTAwjS3PO4cmEZVFpcC0NKxcR2Fz8j1B7GAVPM4lshQ5qkb0VnCz3tK4QFfD3QMYB8PVpkVmCR0jJQpnJI3w2JTYhQ5h5W1BUcgYaKIZJtVpaC5VD3lhqWNA9ZKztqbMLdJokrYk5ekxbH0kycA6dr9A2fkX6vil1cgQI9utI6s08XYKHYVDEyB5ooPj2Ywr77i+3qKiQ5sKXWqoI1km8cERmiGYu5xqVNcTvSLKYaDjM0FyoHNFcVDAItK1grIyjMoMaSI7L8ikQhtF3zT4MPiuczRWOhpv6bstwkpcG9BKk+eC1HjqzkN0KGExKHwCKdSgOsgUqe/IhCVEQV5JNruO/azEWDMoX9RAvUNCrxJSWLq4QwdJT0SSkDKSSYVSit47DnKFRBG6gb4avUE7AUnTbFpc57H5iMXLDfOTPXKtEFaycz12vSLIxLiyrH1PuYP5OKONY7rFjm7b8CguUMbythnzdNvwYG/EchJYrz0Hs4KXV2te299ju2x589UTvnyx5LgryCeKQz1nqdb85Ok1r+5pHm8bXjk5pHM9b++VfE7P9bJhtPW8ce+Q1bbBr2pOn1yST0YcnUx4/viadd3x2796l5PJBNX0fPzZC3RVoK3FJc1is0QbzX5ecW9WsWhrdpvB51O3Q0ZkKQRu51jVjjjSsOu46nrqCOODKTbPefb5E6o3ZhxlI5bXGy5WW0Z7ObPxjOV2w6OLS3zsOLo75/JswdHeMUoq2igoVcbOtzzd7vjVu/tYEQkhYJRlUzd8cHpJLRLJRXzdslq2nJ9uyGzEoG9zPwMqapyOyHALN9EavEDKhItrZNwDIkFGOu9vJf9yCBpIGuclRlvQapDtxRYpNeEWZ0OUKDxOSsKgfEP5wQ+HHPLWlDbQd6AlJsZh0ScjxETWG4iGzjY4P+Rf5t4gI0OEgTWE2Nw2dB4HKDRB+9tYA42UHulHgxdPDsHkgw/PIOUQ0r3aZdRffMlms2G1OuX1t77H44//nPtvfRuTVXRNj7Sa93/68WAdtBUUM4KU2MmY69M1Hj3sk/sGbTz790/YXjY4YTl9vuT0ekE1v48PiugSeaHpfY+PCud7ityi/q84IyEQIfLaeMJ/8G/9Bt///Es+++El1sA2Ct44mfNHFy/54vk1IWp6B+1ujZEZKcA6eIyEB/t79FGydDu8jaxWPb/+1jGfP9lwOB/zg09e8I1tz29+8y2WdYsycJIXNG7EqmtpYsenFyuOjCVLhkIp0IrDWcnl0tE0PatdQ54VrNotRTXBtY7HF2c8nB8wKTJe1jXbvue63ZApzUFp2RhJgWXhItF3RDEADPXw2yPLFQTNVMKq9rjoMHlAFwWZUhibc9Ps2PV+UMmMMvx6hyOntB0vr66p8oyDLKMnIcRfbrf2/7iBSyl9BfzK/83918Dv/bM8VvCR7mbDtfRU2RihHOV4QoyBjEgrIu2yoS0Keqn4+fMdq8Vj/pV33qAOPaSe1aahjY4sBJwoEFbSBkcpFFU1Ztt2rOslD2f7/Nv3H/Ll5pT/8sU5k97yweU5TbNFYNBHY2oZmKaIDoLf+dZDFjvPcn3Dho59ccAn52dMRlP2S0EKcLWKfPf1inklOJxa9jcntEnx4cWan33xnFkBVinq3hNVoo89U1uhVMUVnrdmhtyM2GYdH12fMjIjJgYeX97wmrxL5hWjmcbHHFSGyhVdrTivOw4XHXel4t6rd9Gx4+jOHqu2Z+Na1G4gAzUeHj27JM8d+R140hS8fHTDp48ueeXhDO8EtQebIsp1pFLhpOHxpsY6wdffLDiZl5wvlphU0sXEro0EmcjdFmxG1ymiFoQASVnavqc0iRvnGJEYlZpVK5iZRNsGdKaZ1onn3ZoXK83b8znvL694ESOHY8uhd2yyCeMyoU1gsYn0wpMdZbyiC0ZRctG2jGzGwXRE3zfcLNeIScHSNfz5mePFcs133jjgrA38L89OkSLyb37t6/zg+eeEDr55dMxrs5w/bl/ywu34m6/cIcrITzdrvLFMvKJrBHdOLHqXKNrA85drpIlcup500XC9qNk73OfuuOLjLFA2DUk6pnlFFJLQdVy5QJ9L1s0OIwp+8LPnPDrbQVAI6SAYkkjQCUTqSCoh8imxuUIYcZuKqQY275DoPSTfCg9CI6KHEMAnkt+CMCQz0Oawe6Teo1RLUgWx6xGpgyAQnQTTg9ekBAKJ0JLkNyQFtB6pNMlAchtk8qSoEcoQb0Nukwsk2SCCgiJAiAgtEQpiH5FGIvISsUlIFRBCkhrwVgykSFMiXE1yCXSOwBPYIUJBCiD08LxSkCSlB8hJaEgxQWyGvLo2kpQAckJQiKIZLkSTH6RatgCfQS9Ah0FmKgrwepChWs84z1ExsXE9Ihm2rubFBhoPB1nG/f0JLoc/fO8Rk9KQhx2Zz4hOUow0Unuu1zvaVBBiZNOuaDFEFTBGc9PtsDKjEpJNingH6zQUPQmsmi3Hkwl38xF/VD/l56sFI1uSyaEZmhpNH0CGhOuHQPdl3ZMyuJ8XSDQITx+Hk3rSELxHJE/rFevgEBuw3gOaNVDvdmyFIqqESQHvAyvZk8vq9nLGYxOkTpAZSYGmSUP8gFaGUgsanziYjbiplyQXaZLAi4BEoDqBzTUhszRNS2agc2Igqv5LcPwya6QQgpvLlhkGYzwOQZ5bpIr4JmJsxpObFVmusQiaKNidr9g/maJLQ9M0uB4yM5BeRZZot8OGLEmJJLBthuiI1eWa1CXKowLXLCmqgnyqabYdIUaMFEgfMcni47ARH5XQyUjYdVg1TM+lkrfnKEmKgkJaVAYhSEIY7BA6KqSM1L3DakkiIE1B2DVUJifi6KPEJ4OXiZDC4LuLgPBIqaANjMYj6rbHxUECh4/kaPpoWF2uKKygt5LpSUGz2Ax5hS4QoqXtWsaTEmUFWhecXS3Ynu+YTUuqkxGjLMPRs6Yn3STGheXUL7BFybbu2Ztq5ETxrdmYj58teXNccjGJxNoz2y/RRnHe98xvHK8cj3lxtWQmMh5dXHJvPmaD4ukaDmYVlzdbHk4qDiuNtYYPxI4X1zd8794xX3t9n6enipfPl4yuO+5mc2xpOJ6PeXUy52bZ8NnNkk4KYtczsmMaCVGD0ZLNlWed13xjb87Pvrjm7GJJPs05uDvn5nTFtuvZvzPlzt0pLz6+wqvE3t2KaVmyWddc9lu+O38IKfH8oicmmJsKoyxMBXMlWdWD/NaOCySC//3DU05mOb/56h65UUyN5IvNhvujkthBGbdskuPHL08Z5Zpt61mta/o20rue0tiBhCzDsOWSAoMn+J4g9eAbJ4DvQXqiBIgQhwYsYIgyYiiBiEGBF0PWKBGnB8Kkw2OiJSKR0pAjcCIRUw+3TVPowciE0cMQJUhuow0Ycly1JHrQWkLMkXLwwQUtoR+2fZE0bPmiREpN51uiBOUtQWoikUxGciyOFiMzuM1DRJYgQcaMaDROjnnxYgdMeP74KZ3L6Vo4+/BDjB2jbYXJqiGkXI1w9BgkzkeefPGS8uYZx8dvc7N6zG61pvP7RDsmSg9k1B2YmJBErC1A9IxKSdtGVosaMQpoIzFa4Z0jOdiFwB89fsSPP37Gw9ke3gn2qjHXmxtenm9I0aBziR0bdAiE4LBScNH0GBHZec+R0fR1YNVvmY5ynl+tuHc44/nVBW/eO+SjRy9Z9w2/81e+Bj4nu1cSruDzq0sWu5YYdrgq5839O1Rjz2oXOFuuyLTl0WqNUoYqtay7RAodnoFMK1Xi1b0DpJ6Ca5hlOTvfc7Frh6y8LGdejbja7PBB430HwSOzgrppuVuNWPpAsooy9MSgaFpPYS2QKE1G8oogIrlw7B0fcb68oWksnsTF4gqTT+jrFvGXxFD+MnLgfuFDCcG3/8p9qnsTiJAXhhi3JCnohWFx2eGLAtUFjAlImbi5aojKc1yWTLRhPBvx1ekNXd3T+pa63hC6YRK5Cx0KjxWGxdWK9WLNiSp4ZTqlHI053WzYJs3pdscPn17QdA3vHM45rIbMkDwLKG1xCH6yXrBoAlsC9x/sc9a0vH48JilFt1vxwy+e8EWz4pWTOX/11RmvWjiZTNi5jkrLoeD1HbnRpOSpPDx7fEa3bqiSJbYJ+obCKKqy5PfeeZt/49uv886dOXvlIGvbrrdYXdIHCbT8q2+9yp2DMbEXdMJyft6z3TT0Imc+OsQ7R+8LgvPs/I73Hz3moy9O8fWaPnUYITGmRChN62qiyumTw6eeT1YLfvbkioMqZzKrCMExEglhNEErWivQRPbtiNBHYrOmqxNRBpxMGAYimEqSgKPzGdIalo2nNCNmRvC07ni8WPPNgxnfvTumT54f3Sx5XRsyJbnpeq52Wx5dLnlrWlCMDC93O57fLEnBUWaJZzvPaFrwalXQa81X7YbZ4YgiCC56z1lyvHk45vVZQZKG/CAnRME/+fyM2MD+ZMJ22fD0rEUkTVYJUik5u2m4r8cYPeInmx3Pdy2lS4zHFuclpbFMtMIi2Tsp2MYEoiSGAMJz4TznqUdOMr771h2eXa758vyaLPWDryxVCDFDtAKaJclthjybWCNNBlgGbWNEyYwkNGiB9/WA9HcRnEOEDKEzkijB5ggrBniJ7yF5QozEPiCMReYjJBKh1VAAQ7j9CJGeJLcQHEKl4YJKSaQHdIFQksBt0IuMyFwickuSg3wLJSHLB4xzOSE2DaJ3iEIQu5rQLImig95DMqTekxpD6ALoSHA1Qg9yBZInpRaEQihBqNck10IYYCeCiPKJlAQiamLdDWAWJxA+EmRAFpLkmkEymjpSjCRbEEUPJtG2HicCZaEwhUIZTVVl1G3go9MbYg/3Z2OcDXx0fsnG97QInJC0LqC15CbVvNg6LrY9TbOhc4FtG/ChY6IEyUMMOdO84PhgwtyWFConUzlTa7F4fvj0gi+v1oi84Pe+9Tp/9e49nOsRMhFjYu16lrGmDz0KNUicdEaV53gcm36Qh5ShpdQKLSKKSEJQKolNAqsESlq0gUwl1m3ABch1BjIhtECpHKMFOrpBnqYtkggqITNBLhQqgnaJrmuIeG7cFi8zCqMwafhb2nSR4Hu2dce6iRQ6IVwks5FD8y9PkPcv6xACtJIUOsNqgRSGEBJ9UASR6GKg6RLdpqUYWUqT471HRIVvBDJGhDa35/hAswRT5XTeUWZgjMIqQab1sOVoOtanG0Tr0SrRtw0uOEJIRClpu4BQibLwVLnBzizZuEDZjGglk1GJtYJylCGTAJVRFIpMWaJQKJMIMZDLQBSSAoHWBpFJypKBNmsNvVB4L0i+xUYwcsgjVFJTKIHVGT4KchcxQhJ8QiMhDcMnRE+iJ5MKqzNsqSjne4yrEVWuUKFGJNi5YbC6rWtS51FKo0tN23himyhyixGSdd+z2XlO5gXGKMZVRt06Pnu2wtXwyp0JT5odb2UWVwjSFp4slhyMCmqbOJYZX783Z9n0TGaK55fXzHPHwUxzmBWoXKJTYrkRhFby9t6UB/ePuFw1/LXDQ47mIw72JyQp+fKrM+6+dsy3Hhzz5PyG/+2nn/HZs0tGhUIry2bXEFTATkaYQrNcrNhsIu89W7HsGjok/c4zsZpYGvKsRO4csknIwxFFrjCbSOg9IQUmJxM+/+Scj55cEbRgul9yc1lzfb3k3vEelzdrXj6/5uZyw/7Ysmwin331gs8vllzvJCJZRtIwUolt8DhpcDrjq/MNp9cLZF7hNJhM0SkJQhDwxFQTRDuQlsXtha0cvHDEgNIRg8QwurUFABJy4m2ZkgT6odOS4hYgMsjuiXZ4HDHkxsk4NFt4gEAQHthhpMRYS4Ygeo+ziRgjjoiUYMzQCAZ6PC1oj2Gwt0d6at3gbcTFIfYgkohRkcXJ4MKTA8xEEoleD748OVgbIgwWAwQxehy3naPTw3DSFlzeNNTC8OVXX7JYwMuzHU+fnBIFBHlL/ZWOIB0G6NSYm1Xko48/5uWLyHZX0brBDeGCw6EwIgOv0ER8ciAyuk7Q9cOgdrtqoE4DNTkYYkjUjeOnn71kWhmwsL83x04zmhQI2RDdAYnoejIrOV3t2HY1d0zOm5M5v/Haa1RVoL+FxbQeburI9fqKk6MjPn16xr39MRfna/7kvZ8Dka6OTMaa+3slpbPoXrDZOm46z2oFKioeFAVGJKzsca5mu+2gi+xlEzwdiMj5esMXN1u2TYMxlmgVk6zARcXlpubLlxdsXOSgtMzHkqODEXvzw2GJJBJLD1ZHJjqgTUbjIDYtBk8hDCOVcTTLB8hNSKw3O/aqkqACXUicNoGm65gWmvCXhEuqd9999xevLr/g8fv/xe+/+5u//ddxXYTSMEKRNnCQj1HtiptdTVdHdiFQtYK9suJaCi5Or9g2gT9/dM57jy5Zrdd0fUDGhBISJQS9UEgc3/rem8Q+MjWWu3sFhRlRes2fNOfkmcK0gWAlJknePrrDXmGYVZZ/9Nljzi63Q+J7CR+dnXM8rfgbd47YrJac1xs+u/T89uv3+MlmwxfXa356esE//ORLjm3FWd/y6XpNJgowiW3t+K37dzioCoSOaJvRtz2dz8kyhcsCj86uKe2I793b57/+4z/hr7/+NQ7tlK7pULLjqvOk4DiYVbwQ8NHVmsNxRlEaTJ6Y75fEpqftIqu+pu97JI6sEHhRcrPesV9ptB5xMJ0Rk2fnOzIp6ROMygyHgr5npIFc82TRMDMV37g7JbPQEBn5RFRm8PX0OzYCdJGTXMcoz9j2CaJHe4UrRrg+sOgGv4xJjlY4JAZhJR9dLnh6uaHQmnmu2SsLamHoW8fnNwt6KTmYj3n+8gZvJXf299ifjsl7z1dXWx4e5izqjnrXYlTiW4djbOF5uap5UChen8/4cL3js5sb/rXXDlnUig8W58zHOd/en7KvDOFAMVOSY69Y1Q1kOV+7v8/PPvyCdrthPil55d6YJZHismV+NKY4HHHatGyXNX/7/kP8HG6c53K7RWjJ9CAnCMl/9K//Df7hB1/yf3z+dCASLnbsrhcIPRq0cnRgzKCTr2vQCZDDVspEpFBEpYZ8t9QNyP6kgGygndyeGAUBESNCMRCuwhADQPDDJs9vSakbGkwSMkZSnkFYD41fH5GmQrhACsPGDN+AkYAixWww2AYNWRwayLVD4IhGIJSAIEgxIKIYACjeDM8jz8DlQEREB96RVELa4XXiPfihQIsEKtdAAU1PIiKMhDQ0GggQXSSldPu+SYTNECIQuy1CRlIange9gHw0xBL4gBKDMXt+csSzl9dcrT1168iFIsPSpo6mk7w6nSJywVe7BR+/POdm3dN2gMx47WTOfJTTJ0/fe/o2ETrYBEkfHDpTGDk0hIW0uBhZJ6j7nnGCdNteLW+2bPsIfeLpas2j62u29PzmG6/ye6895IfPrvDKUbse6RM6Svo+0ueQpCfrFI1P+OgQIlIYS99JZIQgBTYZegI+BbSTwzDXKEbGUGjJsglsfWDbN2ihGGeapg8EH7HC4IKjJw7Zj0EQhRiiRJLDG4VMklFmUIQBfZwcUmbE6NGFQBlN2zVstj12lLFqGrZdyz/9/g9P33333f/q/+1a8y/q8Z/+/t9/9+S3vg4yYY3BxZ4QA0pAlJrQBbQOwECh1FJQjDVRKNa7DRLJq3fvIFJH3XZ8+clzNquWVbuj2Tmmd48oK03rPEWRcH3ABomyGbveYZUZpJbJoZWmdQNUQhpBGwLLdYdQUGTQukjXe7JyTGgd1uS0TY20BiEDWgwDvhACxg7nf5cC1iScN7SbDpkUrW8JPjIqKnwISKPIcwXBsWo6+j6ghUJGRxKe6XRKiAkfOtCGEByyDczGOUwL+t2WdtXhupblpmW79rgAfb/g62+8SgyBDsGo0BydzIb31QVGVcnrZUFMgj4GRIpkecVebkE5nI/0qedi23K1bnh9b4yZZDw/X/P63TndzmFLzWrlGecZG+c5HpWc39Q8ONknLzO00cQUeHx9wydXN1x2a9Z1Ay5xr8y5oOX959f89r19HhzucZVgby9j7Cw//fAxT9ZbUq452S/xQeJTh7YS+o5UCzCKMtNcrlY8vVwwnU95+NocQcejxwtOTsYc7OdsE7w8u+Fgb4LI4Gq5pRqXvHU8oTIlT1bXCB+JraARPWIsyDPL8nJFnRIHd/a4dzxluegYzy1vvn7IKNN8//1HPN+seWVSUdqMsdY46fj++5/xg58/oawqXqzWLC4amo1nPNdkVY5oHDJqYkq3apVIksMQQAtBSAGZGnwSt+TVgEjqVtgmCLEnFxrhSoQcGqhet5BafEx4LZAhkflhqyx1omc7RC1FS5SKGCJJJ4QfZJe96dBR38rXOlz0WD8MW52VeBnJfCIkQ1J2oPZKj4yKGAUiSWwcamUnA53wSO8HaXLUg5JJpEGVKQRZkiQjidJjpCEFQ1DD/4PwBp9A2XJo+pJByhHJKpQsccIM9V54UrLIWA1ba6kIKaLSCK1yvEhEVaGjwDGAvxKOLJfsOlheXqGVRVuNtZLJ3hgTBUWVo7Qh+J5MwjePD/j27z3TswAAIABJREFUqw+YlxlJS9Yhsm09/8MHT3hxcTn41ZNFCodS4KLiJiTq1PF0e8OffvGc5crx5uEeTTvYHLbNkrO6Z5oZ/p3f/XUmOuNnL87pY+KjJ8/49W++Qtds2d9/hbdPMo4mEw6qEeNMcHmzoswMk/0RTd9StwlDpCz3QTkat4NkeeNgn7rpETFw93CKtYnQDaTTsZXElKgKiXMd83HFfJyj04jreo2QIBFMMkF0HqkUXpkhVFxrpJTszXOUylisF3Qu4JQGn6iMYpTldG1D48GayNhKfvpPP+Lv/d2/9x//RXXhn4sG7h/8g//83fvvPKBOnv1RyWFZ0IeBArXcbFhcbNl0kRGRo70Jy7om1R6jK256x1ePzwltIN2u1I1IaJNhRCAqybwY8c7bh+yE5I4WvLE3RnlBIwP/7T/+gCqbIUpNFhXVbMJnV6e8dnhInxzvX0UQK7Z1z5KSh9WIN/cPiVHw6uGM6WjKjz/9nI21vNx2fHV9zcHejNXaIWPDYye5adZUcggINgZ+ZX/Og1kFWqI6EFLw3uaadeiZScsWw8W6YZYr7s5nXGwbXj3ImSTF+82aPiaoI53x+LpD7BqkVcRU0tYMWToGFnWgWeyG9PhSMJ1OyccGEQwH1YxstGPZMwTD6kjjPMlI9soRZamRytH0PQGJ0ILlcofqA/NyTBIKHyXKJyIef0uBMkIhpMQrS3KRQkt2LhK9o/MeTcLYRFA5uYBcjZBe4JNj0bbsomFcakZS8dVuy8V6CzHxYFIRbcmkELxZjjBO8dwFlFbcqQq8h+teUeWKO+MRe0bileHNyZj9suLRYsfNzZpX9go+f7xg0SV+7ZUZb9yZ82cvLvnkbMf3Dudc9T0fLm+Q0vJ6VTIfGT66WnJSVNwblaz7llYkTDRc32xY1jWH4wqb59RNR+81VgbIBU3rOJIZejJisVjxJ1fnQ6ZZ0xCDZHd5BaEHcXvTdmiIcjMEkroICUQMJCcQKpCCRCRNSmrwv8VEshbhGwgCTDZswdoAyQ03aUnJDMQqgDiAQvCQzK2PIOVQu6FxlAkoUCYQk0JIM8QSkBD4YcslgL5FpAypLSn6QdUZWyRpaC5dBKuG4abSpJ0n+S0y14MkEjEkGSQ7xAqoMHgJlAFtbmMqBgLYENJUklQPMkNGR1RiaBqERyZFCh5EP8gPdI7WDE2ryBAEkgrDexkSCYU/2GNqM2RMxCSpu5a23rLrA4fViIhjXbfUTaBeO5JMTHPDKFe8sjelUorzvkG4wDbUtCEOiBmR0FEwLwsqbRA6YjVUVmLMcOLuk6cJDpVpEglrwGhNbiV17eh85O5syp5SfHmxoidSGEOmy0FWGjzKBYIBSSJpxVgMjZckDZr8fDD3JxchgkueGCQhRpLQeB+QTmAzcCnSuQB9QihIBDKrEJkhJMlEK3KV8MGTi4RV6vZiNhF8R6YNPhY4BqJglkk6L2nrFqKi9WCyOJjBTcaf/sEf//8N3D/D8Z/8/f/s3Tu/8jXatqccF2QyH+IhUGx2W64vN+SmIMsLSILcaHZNR9c6YjcEZ3ddSxMSy4sl9TqRQkvXOPo2ElVgt+mYVgWmF6gYyWdjok50ux4AlRTVLEdrcfs9kRSG4YCKiXbnaF1EJUFI4NoebjdjSiZCZBiqcDtdloIiKxAikWJAqwHiEDqHEgIdPZ0Yhj3SKgSDF7Dth7/nlAYypRKWTddgU8RhiMIzmIbT4JdVIPUYYyy+qdltemyeYUzCJHBOkc9KnA/oTFHkGhBcXVxjrGTPZAgpSTaR3VIG70wmxJS4P56iVGK7a6mjIMtuaXxOMt7TnF/sSCbQbQJ2pji/XLE3mbCuPfOxxpicPNMQB5/zk8WKyioKNWKcFxwVlsu65cHBjEXwPL1ouDcd8dpswq89OOZ//KP3aEUkm4wolCT0ULsWaRX5rXSrcRFthjil3geMhntHU945mvF83bJta1SraXqP0IOsdnO5Ybo/ZjQtmY9GPHu0ZLlYs393jg+Oy+uaalpwb39KmY24fHHJyckYETSEnpXvUZ2k7wKN8hTjkofjKZ++OOWbxwccjzM+PV/y8fM1SThUZnh8eoUXia712NxSzQq6ZUtKcWjHghhmlkqgg8KFBq8EKQWS0ighkQn623w2iUen4fMIhUoJi0ILQ5SJxKBSMVIjEwQ6EoNHdIjXMiggKo2MaYjtSQIRJAKDTAkt5OCzlgwWAzk0XgSLSAmhBwqsSgrtJU4IIhEdJEFIQkooMdRoFRVBQ6KHIDAYVEp4HC5JdJKkADppPJ4UQQnwJhDC4PszWkESJOGHAYnQw2sViagUivyWYp0wwgyvSRiESARlhsY1DRRLJTR9n4i7BpUguETfeFLdU2YjMqOIt+eaFOB79+7zW2+dUGWS1uhhS49nE3t+/OSSerNCanOr6FAkY8gzSegi213ANy2HWc437h9QZZqvnewjMo0QFTH2XK12ONfyG9/9Dm+fzHjv86cYYXlyveD+/phCW5RSlKOMSTai6xv2ixJPHPIvkyRXAhc8i3qLixIVJDLP0NLiZWLbtcSmReVTVvWG7a4mNwN4bN21XLc196uKwk7RKtAT2Ww8QhtW9ZYkJQFN8j0u9JRCsux6NruWoz3L9aomycSL8yWZkdjcYhRkytJ1LXWAeV7y4z/7Cf/e3/33/8IG7p8LCaU1ir/znTf4nW89QG46TuZjPIKnz16yXvdMi2NOpiVvnUwwJtI0PSZGattws1lTjCRFebu0cB2RHGU0RIGOaVhz+8SdELlXlpz3no/rSy5l4G4xplmtuLq4Io8Zo+C4XHXEusfInIcHsI2G604S1zteOxxjlOOzyyU/v655ezahmo75Rx/8nA/PviQkx+VyhdWCs75FdIFjLGOVyCs4nhQ0seZis+Wq6biKHQ8eTHl7WvFWaWm3DevVgut6zWa142fPrvjoxRnbyx0PqhFH1jJOihowCESAq5sOt/HcO7K0ssNEx2Q6QwZPCC2FhvFoStd6Nhc1e9OcV14fManGuL7n/2TvTXosS/P7vOcdz3TnmHKqrKrOqu7qkRKbFNASKFoEZMkQLQsCvBHsnbcGDH8Nbw3vDBjwwgtDC5sLQ7ZlEjQlqrs5NIfu6po7MyszMjPGO5zpHb040fRSNCSLpOEDJBDIjLwDcCPe8x9+z+P6nmH0NNpQCE1MmTwqctAUi5oQe4ytcESe9QOv2o7FIkGVufEDLgtEYZmVAikih+BZiMyiMsQwUSyDa5kvSrSFum6QBrZjIgtF73c8KCve3axwPvL8quPLfcdMJo6WBadHK3b7gTcvrrHF1KF6eduyP7QcLwwPNg0fvb5mYyNvbRbcjo7PbjyiDVyLzE/7ESEV33tywtvLOZ8nz1sLyVfXG17f9Oxdy8OzmjfnBy5c5N7ZEe/cP8OIxIdPb1hvFrz0LX/46oLnrw+EN46nqeWL/Z4ZBesgWM0lr7Xn0aLmWw+O+N4HjxGV4Xdf3tJ1nv/j46fkw8C8sojComcagZrWQnwAx0SeJNzRGyVZGYSSoIpJB6wFInuEjIh4By+JHSJNClrCXUZO5qn4iUyFVxiQWkEY7mSok9oAraYCyQ2QPbm2YGpETmQmJxzZgfMoc4dkNkwTNjdCLqfsnokImRDJgJOkwZFzACPJKpJjIolp+iObGlDIwiCEIfWe1PfTY3sPsUR4QR4hpZKUNFlW02+q0COTQCDIwoIwU2dW1NNqpEggEskX5ADRq0mxINWkRRgiQitUMa2rtH03ZeBKwWW/4zAOXHlHzoqkIrsxEpPAziSLdcnD02PevXfE2UlDGwduXU/hMkNUBAdDzCTJ3WqXpA2B6COlslgh0F6Q9x2JzLooqAqF0AJpNNYYrBZT80XCh1eX/PD8GX/jg7f5tW+/i1WK4eDwYURIQQQaa7FKEZUg+MxFHydBvRDsY6bIgpqIMQKjJNoYDmmgH3vS2OLGkUEnkIG1MsSsqAvDUlvQht45rE8UAQY3IKRGqZKtAJcDM2OQWXEYBTFLqmIq+hIeH6eD2UiLtZFFpWh3A4dxnATO///1/+hKaboJK+oKq6E5tliZ0CLj94L20LO/HSBHZo2GPK1cxzhpAXKOvHhxyZc/e8PhqicDw5DIMeBC4uL5Fa++uERERVEY5idrYhHxbUeImZQmYIPMgegmmAN+WrMVSMpCU5iMiB5tLBpwIU0+T5HRVUHI0yKAcx6Uxg2glcIFRRgC0mhCAqUFRMcQJ/F8zNMmh3eO/WEEFKZsEHdeRHykNpqUFDkHQlbkkIgklIh0rSfHnrJSKFNRL2pi8igtufdkzdG9Iz756AXPn74hjSMCOPQOkQQaw8ElrkdH5wQzWfG1+RIpMjE5hiz45fsnvHd/TWUlrh94cbPji96zSRWLo4qv3z/GN4m0j8w2Nc/Pr1jNLGerGU0paLtEzJmn7cCDozUPlxuO5pavLmoQClMkdOv45bMV1QJ++PQNJRkrQM1KiqrCBsVhP7LtRx4+WLO2M/zoEYWhaizZC6RQFKVkc7zgg6MF7TgRCxfLmtfbPZdXPVIYymWFtBmFx/rA7tBxE0aoFIRIrgyL45Jaag5XBy6vLnn3yYawc3z6k+e82e1YrTUvX75md9Xy7smKx5sl54eOj8/3HJLnxc2eP3z+huuhp55VXI+JhMIuC7ItuPhyy9WLFo/Hm0CSFilLJiTNpDSCEZV6jJyy/lFIhjshdyklBjmpZuQ0K4sSvNREaZGinhqdTLRSiSLpklEDsoK7lUZSh/o5cVJCspNrdcqiZ8Y0KQhiGO5ekyL+POuWEkXQFKmeMnhSYqSYikKdQEaMzkgskbuYQwgAmOQmMjQSlSb/nEeQJEQ9rRAbqfAE4p3MHGmJYfLiJSknwXlKGFlSUlD76fhWWqOmMpJRmrs1S4kKfsouqzs0R/JUpcFWFULViAg6CZq64uFsxWqm0BI285q//823+bt//atUTcl19Fzf7hmS40Xb8aevbxBuIPSCkBJZJ4auhwC7boQsKSpNXc44m88RSvA7nzzn+c0NR7Oad9+aUZYalGE/wvd/9Aesz474j37lF9DCY3zkt3/8hpGEtnMG50AfOFqURDlBTF69uWXbew7Bc3p0gjElh35gUdc8WVhuD1tubltuDh1fbPf85IuX7NuBm67lvB3Q0mKRWBQ9il1saZNDRkFtI6t60gkMQ0angMyRWgu6u8bZul7ivaApLFoIzhYLpEgces8QgAxH6xWFj4RxnKA9f47rL0UBF0LiyfyU7c7x2esbPru8xNaWqDICy3IWuFdKYmHBaqIM2NqipKSxCmVK1GJB0RTkmFC5J2fw3uHGQGojf6vZkKJmT6LNgUvv+MHzG97+2mO++s4pR82CQ+z4cr8nx0SWgXcWNbU1vF1Z3n5g0arl9hC43F7jRMRquO0PFKXh8emMTElKNa53zOSIMAW2guW8oq4W3C9XPC4rbtPIcz/w/PKK2/bAjz9+zj5mvn36iHq9xElPij3/8vwN6wJcm7hF8Yk78IfP3vDspmVuFe/MT5nrgrePCjbrJS9enPPe/YZ97/noJ59jheC9t+8hhMKojKwrrvcDN+2WmyGQZYHS4MOIjxGhoJSJ0e1oxwMxJEqbKeqSMN6QleQmJP74dsunz26xCExpqXKJT2lCVCdBKyJ98iQVSdbhc0SbmojA6CVjtGg5DVluuxZla5IIzMuG+2vLdbfjcn9gU8w4MwWHwfF0e8CNLWKUfHoIYDzvGYkOBR/uR945W3FcSdpdiw+ZTif2UvPHP7vkuu85Wtf4BD98esNiXnAZEv/0d/+U3/7oOe/ON/zq2yf8wcUFJMn7qwarBj5yiWQFayF53rb85PVr3O7AUVWyqmvOzjbscuCn51f80UdfEtuBtYBvv3VGbjNv3rSMJvHwqOH8sGNIEWMS908bpJzAHHg9ESeMQUQ5MXulgVojyjg1w7oWZCC3I6RIThFZTDfeoqjuJlUWCgljhO0wwU+Umgq2n8u7tZ2+zoqs59PqZZZ3GTiLiGHKvmmBdJ4Y0iTK1mKa/MmSLAuE1MhqDnf00jS6SWdQQTI1FAUGiTQC4SKojBACMS+ANHmoskeYgKgWyMJOryXdveYspslhHMkjiLhFSIHQU/c++25yvMUIoyPHCFYgpCAHhZrVUwM+BEgSmSNCWVD1tBaTEkg7BeWzpI0SIwylqXlrtuTr65rrsSeXAr3IlLbg4WbB6cyyzyMGQQiJQz8SooCc0UXDpraoFHFZYUqNd5mtGwjjQBYSUUpEZSapeFI02mI9qJwZ/EDfeXbtgGOSsf70xZbXt7d8cHrK333/CWWtaNNACHeTAGvwMVGLqfiLP7/ZFYLBR3w3omKitgW6UGg1HdtC2olkajU6ZwYXiERMGng1OF4fHCk4MGpaFzMQOs+26zBSMI8Sqy1Ba4yCWSmIPoOLpDitMokcyCJxwHMzRBSKR8s5tVHc7vd/0UfOX7lLSoEtNJFEWU/NH2UafAiIIqJ1Se9bchRgxVRwi4zIEIPGd4r24NndHLCFQZlIUQiUtmgLIkoSmtB1gCD5iGs9UhmEgLYbyASGLiIslEZhqwKhJAKFnRVQGpLQqOQp6xWLaobEM+RITJ6YAkEmpC2J3lNaicsZkqcqyokQO3qskCQr0UpQloaYM8krRM7TfWr22BSQUqJDZiQgMWh7F22KCSXk1MSJipwy7U3H6ME0CbHUzGYlMUvOn24pawmHjkJYcsq4mNFq8jXef3JCGxy7vqdAknzmtsu8uu3wKLrguewyJ7M5IiuELOh95OB3fNwFlqPij57f8PWjY3ZRIjtJva4IUuFTpiWhdMYnRcyORxjulQVKGq5DwFjFRhd8eH3NuI98994psxPL73x5zss2YpuK5dzS9yPt4PEpUSE5XO/JY0JmSTkrEHqaepa2wZDRItMUFn89ub1mm4amURzeXBG6wIPHJ4RD5tnPLuhc5OTxktW9GS9/dk2pCu5vKrJMfPKz11y+bvn66Zqb0ZNlQmfJnAIxK7l3VvLm5Y7nL1/T4zi5X/FwueJPLq55tr0lGng9wquXN4xxgpMUpUBZyfbyZmr2pIBPAU9GCwPR4gkgG4wskMFCnLJiJkEpCrTQyCB//sODknrKk91l0HwO08KHmrxzaAVJUggLCJQ0KK1JWhKDw0iDTAEZpiz5tKMgJj0Bw5RTS3fagBSQEpJ29DKQ5PS7MZJQEqSWU+GV8tRwRKIAJYcpC6csXpfE0JJSRkqDTA5FvtMdiDvgCaATRk64THEXP/ASpLSTfuHufZMkiISXjigDqKmglSoTtSMBKjtSDFNzN1tAYSrDbN7QzErKek5RC+qq4KvHM/7et95nWZe8u2h4996KMeyxQpHS1Ij5/PKWn5xfcrnds2wK5ssCkSNudCijOLQDOUmSDozB47JnPTesasPFvufL7Z4+Ca67ls9f3aAMrBYFs7LgX/3Bn7A63vAf/Mov8uy6Y2E8v/37P+Hm8iWlnUGYEWTk4BwHF9hHz0XneLw+4embN6jgeO/kGCrJq37gZF2zXs0w2rIo5ixrSV1ahiS4uBn45PU529FjtOTj8wteXt1y2EVIhsVicTe8EEiZ8GlkTAPbIZGi5/HJGWcPClaVRWhD20fMzCC1QoREcI7T9YzHJxvmiyU34/DzHYV//bnwb+d4+Te7Kq25HR2f3G6J85LdTrA0hg/eO+HkrQK7KimqmrKGsKxZrWcIm1kvNSE5TjcV9UyQY0spBUEr3DiQqgoxa3iwXHCvsDx6sGQvSn7n+Y4/edrS3dwSux1i8PzDb3yDelEzSMHX3z/jRdvyO198znCzQ7qIz4JoCl7eXOK2gutx4Eevtux6h5iVE61v5xjGPdtdz207YqLjyDS83ZQ0Bradwzv4vTcH/tnHn3MxOGxRknxFwPFyN/DOYsEvrE94cvKAo7LgK5sH/K2vv8/3X73iv/m9P+J655ipEp0FMxOptOJoVnB7u+XTZzsuLkaaRcnR6Yp6ZVmeLFgsChbrknJuKVVmuA08+/ici63DrGZobVHGoKRA6emPC4GUIecaIQtebkfa6ChtYggDX962vLnpWJYaITxhTETASM09YxnGyMX1QDw4dPZE78kuUOqAH3tyFszrknmTKINDjYlue0vlRu5tFnjdUKlpjTZrOL7f8OB+w9PLA6+ur8gzaNYFt8OW9rBjvZ5x1cGHX94gR8dXZpYXw5Y6S35x0VBryb/44hrnPP/g4QM6Jfg0JN5br/jOco4PiXpjWUp486rl4nrP0Uyz2JQMPlDPZlhT8rPrlhd9j9r3/M0nG8p1RZ8DZ/Wck7rGlIaPX+z5jT/6jKAT9xrF25uam+seNxqSNNjCMq8rsnCgAxAQykwyaiXBddMPRjDg/URY1MWE6jWGHCXJhamYC3fhbsI0LdMCCk2WhpyAyiLKBQiJ0gkxq6ZCT06+HJhWX4l+CnkHRxoSWTJJvI2CPBLbQBZ306+4B/q7KaGY1k1+DkMRFtDE6Il9BCMmCIlQ5BRILkMuIJUTxETlqbgUeZLOxBGyn0TkJiHKRFbl5KpDIPQdml4GQCGr5eRDGzIiCURmOoCiQoRptSElMTnj9ETyzHl6PplHKlNQClgay1FVcXy0JNjE1X7kqh9xTrAuS97dzKmURLjM7cExpkDWBZ3KRBFptMKGyHFhmVuNzRkpEv3o2ZLppMAPntoYNI6DP9C6kdIKCiFZVxVlXSCEZd8Gcpwk7L/52TOuuz0f3D/m733zAx41c0QOzHVNLQ1zY3HRE2JGIxhGCJ1jLhKHsecgMsmP+BARQrCoLFIkgtJEL3AZlJj0B9EKrMwkFWjbqTBvfWIUAWUKRJa0fqCwk6TcRigKy3rWUDclSSm0VGQ7NQ6s0SylxmJQhWZezXlns+LRavnv/Iz5/8LlQoYxkaqGOAwoE8naUFUVs9oQXKLvelIrGD0M+920OhcOvLl+xbxp7nJiTAPvrHEhkgZPTolCS2aLijHBYRixShKERAhFZTS5NnhhCCiq0qALSUgj3g/st3tMFqybOWMCkQeUiuyHkUwiRjAaKimmG049KTK6bk+O0+Q2dBGRMtqWBBQYQ+cCbkxIJWi9J2ePFAU+JBZG83C5IIcIyXPrHC5OIAgrBYVRtASyFLTRcX11iyxLlDNEL5A5I7TE+8h8tcJYiVSWvvUk7xDG0g8RBfgUeHl1zT70vI4D88IiROJmt+NPr6447xJKZYIIpJTp9o5d1/HlOHJyWvHisuWXH6xoVeQ7R0s+OK4wUpMGuPaB1+OeRmpsJbnye14eDoQsWCiBQfDkaEWfMmOX+GvHx6xOlvzx05e8dVYzmxUkndFWo1zgiy/3uEKyOK2InWe47SmNxCdPd3C8et7y41e3PL1quWg7wm7k5HhBsyzoRke3deSk8VqiSo3RiZlQ+NEzaAiDJ3uBT1Afz7l/v+Hz2z25yDx8f01dFXz64S1vv3tMs57x+ZsbXr26JWXBV85OGV3Hm51DmAJRVFzuB67bAasEIotJaVIXVE0DOWBipJAJZCZkASGh0FNhEyyEO6daDhRBgs+EHMAmYmAiUqY4kYAIqDRB7QwaNU75JQ/T53IMqJTxArzIRKUxP4el4CiAQqqJRCkjpERE462eCrw0QprUAIZy8r7JCHK808f4iczKBOSJ4zT9klKCtigmC5CUYpoC3vV4AaoUKJjk4yqBIU7eO6acu5EGRcKkQO2gHO7i9bRgYZSRFBwpDEg0JiVUCoAkS40sLI4w0T2VRFFyuOkYdnuUURRloihrNssFwiZKJfnb797jK2dz9geHKQoGHRjEQKsyF23AJI3KYWrmakW37cjhruFHJLSerAum0xyykOyGSFkYXt0c+P6ffspPP7vkuD4h+cTlxQU/fXnBnzy/4rd+9yfM12vmsxnPb/Y0jeGf//gzPnv+FFlLSr3m3vqEB/WKQkpC55CF5f3TM0ATyfgRPnn6mpQMVggebGYsS3hrtcTYgrWWZDzeZZxzaEoIMIwDBz8w5ANaNhhpmZeCplEUpmEMGo1ipTR1Ybg43/J619MPPcLAQhms1UQliDkxpsCu27NuNPPZHPHnhJj8m3jg/q1dScI/ffES5zrG6x6OF2TlKHJktazYvWrZtSOnzZqz+YzFY83lfscYPacPVgw9DF3C1kvMzNO7RBwT9fExG6Mx5cj/8Pkz7q9nSBvYaMWqzPRkoi/4xklJcVyzdguai8iJrfj+p18gfeZes0BoS99Cu408fNgQbU0Mnt3hhjA2yBjYXwXmdcEVkZQGFmPJdxZzpOrZRphXc9bKczlEbnyiqgpkzgxERps4VQ3Pt5es44ZvPXzMi3aHCku2eUQ2Bf/8i6dc7HruHZ+hpeYrtmM4DGyjp5c1n764YDmruR4c7z4+ISNpTEldai5etxyypt2NuJBRyXHr4CQrymaNWAqUbAhhzxgCTdVQ+khAErqJLyGFJqRIPwZ8zuxKw1ZETkJHFzOVkiQEjYUuFMTUIqKkk4mFKbF1wbYfuB4jKgtszOR+JJuGURwQTLWCIvOknjPT8PR2xzvrmieLBVpnnl/d4MLA+yczxlzy8daztJnvrOc8d4HewIOzOQ8rix2hNpbHjyquXeTido8sFe8+mPPRlzdc3LbMCs1VHPjNz9+wHTx/5+v3+a3PnnK9C3zrtOFrx4oPO48fEt89WvJGK56fHNjViUdB8+LllsZmjt9d87XlEfeLmidvnfDf/d5HfPjsggerGfVa8799+iUxSsbdltuo8c2MQgmEjRDv5MZ3Mm10hsS09hdGUoiIYoJ0EAM5CYSuJkqW1khbI/ZXxASiqO+mJpD7AWFKcC3ZDpAlMYxTvkxlhNsxWa4lqBFopr+XEmIm6whBg4QsNaIu7x73loy9m/pN2QIpximH4KYCizThkJGeHBJCSbIbQCaEYVr5zGpl90rrAAAgAElEQVQSsUaPyIZcNNMKpdT/d1spTaS7bMSU0XOeHOLkybGWmEeSU8CUM8uxRQhLlhlVamI0QD8RFvOU00vxjvssMilbrA7MZyUyR6xKHHzLHk2MsLs4cLJesji2PDs4tI80RcFF1zP2kqXyDNEjk0CrjsKWSCVRwhG9ZG41uZSMCGwMlMWEqA4ik0qNCAGl4VhIYpFxDlzwaK3xIdCTeHXY86Pn5/z1R495sllxVJb84PwFV1f7KfObMsvC0I2BLjgKNDkFgpojreJ6NzKTimY+bSuIaBHaMYTISilsaekGh8kCISukVKQ44COEIOiUoxwzQtwJlEUi5UQWgrrQ9O2IyJZVo2llpG0zs9KirKTM09qWqSQLk5jPC5zXNKb8Czpp/upeQkIcHLe3e+6NK1LyBNczdiNZlAgtOFovaOqJNiylxCvDePAoJPOyBtXTjZF8R5AUacL2i6zxQEEkolg2hnZQ9Ckh4jQpqKwGL5ER0JkuJ2QfSGiMtuTYs/OOTSFZHc05bFui6wlZEnzGlhZVGwSQcia0Ap8CJklqXeDdQIoGJQSqgaGL6CinX08SvI9YWSNyP0nrc+Jrp4+IWtMnSS86YlaYlIl5JFAg8GgEQUlc25NcpKkkIUWST2SmCdW94xVFUgwqMhwcMXtErbBVye7NDVpajK4ZvePlrqcwmqwyD1fTRoshc7k/cHY859X1LSkIJJp+v8fOZ7ztC56WIx9d3PC9xyfklLm+6SlrzcVwQ+8V9xZLzkTm2mduW89ZoZgLaIfIded477jhVgmetTsY4L3Ngk+Gnoflhp9cXmNlS7XUtLtI9o5iYbCVxaeW5EE1mpymCa4ykt2bgaubgSgklVIM2wNDjIi6RgjFq1c35NqwODthbD1PX7yhOiu592DB9YuWLZH5WcGDe8dUIvL01YGHxzOs1Zy/vmUfW767fpfrkLALjW0KfunxGd89nvHl7sCF95ysZzy9vGXX7pB1ia4TCEXqEiZHmloxjoAx+CinKRGBKB0GAwiSnvxqkskLF3SYSJTuDjApQSGIOgEJKRMySQqpSUyRhYSFu6iNKsCM+e4ImiZaSkNkANlMhSAeZCamdPf5rCkBtKPDIbWdvi9NVMtEwFumcwcNBIwsSWoivqbkJ8dcmooYRcInkFL+2ZQOawkuINMAsiSmqVEBkHQkpzStNcuECgGZJUlN7yLC3XPerRUnTZISqRUyeCIaocG7BGoqLpGTfHzV1Gway23bkqRB5MzF7sCPvOP+ck5VFZRFzdGmZlCZl9sdn9zuGcfMbd8yR7MuKi67jllZ0mlw3TAVvwTOji2hcxSFRArN6ALaJ4bRo5Sku215vFrxrbeXfP+TGy5sDa6lBJzr+dknX/Cf/vrf5H/5zd/jky8vOVvUfP+Tc17tHH/7m19n0Tio1qxmJfvrLT/82Wc8Pjlis1zw8mpHUB4tBH3sSSFzNC/pfSAlh8LSrNa461tSltTzGYuyJIhAOwb2YUdykfuLyNGywmGwziNt5kGzRMqBWak5mxU8iwueXV1SWcsQE/NSsQ+a0ghcGjkMEakU65lhmRLizynyFvnPWen9v3kdvXU///v/xX/CJz87ZxUV/9nf+WXeiMCzXUs3HnizPbDxlgsb8RnuN5oX7cBl56H19FJw2A+obsdsXtFuBxppOD1Z8O56zVfqhsFGFJqTeclPDx2FTsz0nA+OFdfDyIfnLcErrkLPPEfe5ARE6liz0JDdJS96y7IyPJrVIHpcqnAZnqxn7MbA+dBx2bZ8MGuodENIA4/WC4RPnJQFSsJnVzd4bYi7TLNQnK1mvO5bVMqEXLAQCRkzl8FznhQ/efUZr0fJcGiplxWDS+yvJr9PUTZ89OPPWZzMeefhGR89f8O99YaTezX7XcvbyxUXneXZp39MLAqqXCAqT3veInNgqFecnM2YaYUbHYf9QJcFhRUM3eQTM0JQWU0sJKGXCBwhJIIfWS1nnJg59xdzGmXphx06Zm58h7QlVhZ0PmIt2BjxUiNTog2SolSYFKa1rGZB9A6ZAjWSbC2DVVRh5FnboYXmYZEZtOXSJ968uCEJx/3lknK54untNb9y1FBZzU8HyXXvKd2etxYLPto5jpcV3z0uWQrL715e8M7yHmdWcHlzxQ+ud9RlyePFjA+fX/HNd9bcO17xg+dXdOc7zpqS8qTks9dbrGt5dLLh/smGz84vmGN5dO+YR6Xl7XXF0eqI//J/+j/56eUlm0XJwwcNY8w8/fgStSkpTUF/07KpFzw8aviN//F/RdgG3GFqu4UaYg+AMJacC8BDOEzrj0JMIZIsQZg7p5kAnckJhCrA2IkaGRNZREQupseMacrUSQF+nApCVYEV5BCQiEmSLWtyEuQYEOXy7rVNos4pmzdBRoTU5DhOryMLMHoCnAhIfpxWLwGUgygRqiDnaQpEDORpxAc2k92IFDXZ9YiqhOjIeIRp7jIpBYIRkTM5GSinG8uU6mkiOdxO70UJFIFwlxMjA31EltWEYTYKoRIiW4RK/OqvfQ8rErftyHXrqOYltUwUjWYjS2RhaLRBiZ6n3cB1F3jUFKybBV9cXrHre3Q21JWilIbVrEKqyDAkpBa40bP3HlsaqkJTUaBFAFOjwsiYAmOSzHLkcogczyboyOh2aFsQBkcvpv+7KkveXq749qMTHs5X/MGnT/noasfN2JFzQCvBtktIk7EaSqE5tI6ooZYKXVjmWtEH6OLAxlS4PIKQBCenj0MI+KpGJ8927FBSEYfMXGsWqxnr+QwXHDJFmqzoRaDRDcENZCV5uN5Q1XB507J1jvWsoSkUWmpKYxjS9H02Kf7Rr//nv59z/qW/qDPnr9o1u3+U3/3Hv0ZOiZvrgeQz733riOwk1zctycHDd48Zdi0hRs7fHNhve87uzdld94jCcHV+jqQAaSgKwa4b0Eju3d+wOl5S6kjOkqOjgqjmXLy6xlaJbuvRVrKYlySt8UOPi5I8+km6bSU+Q4oZHR2DnAAaOU3Qru1+pDSSupY4L/AhkQNAwKYJeuUGB1lQL2qcjuTdBEuSeEBz3JQMOeK9YhxbNqsj1puS5y8vaZXADQ4hE3UhGaNARYHTkdBPTZ/NYgZ3FMy2jayaGktiu++4vd2z2mxQStH1LXvnEUrh+w5VVHznnbfYtXv60ZFQ6GyQwvP4aEalLfswokTBi11HpQVWwJv9wDB0xCQwheCr9+5zsz/w+vyGr7yzIQjJ02dXvPPWim+enbJrB75sBwoFD8qKLnmuh8hcCzZFQyCSNWxHhyTzetdR1gUvd3uuX+9YrxYEAU+fXzLuPH6MNMuC+49q5rri6c9uoJYE7/B9xrkpF14WGh8guJFZs6CYScaUsTFhoqQLHllLjMmsqwW3hxHdTEXf4VVLO/QsH28oUHzx6Svmi5rN/RUnm4JnH13w5Mkpv/jwjLmRnDUVRWn46Zd7/sWXL/jxR+ckLak2lu3LPXZdUJaaeV3Tto7huqXWAzp4kplPUOWUKLIiiUjCAYnoI8oURCwqTtlrn4DYEosRlRdTwzNZpBJ4PGV2QA13tF4lJiojKZCkQ1KhMAzK3U3UBEX0SCRJMjnVhCZlO70GHIQCbzLGO5S0RAX4MDUg1N15mKcCEhyehFE1KU+FtIoBkypiEiTrQPWQFDHfTQEBnxzc6aMlkJxDlnIqWDVIFCpM+gVvAzg9FaBhmCaMYVonjXfuu6Tt5BANd+udgJcKk6aJ4X/9T/4Jv/6r3+D85Wt++MWXfP/TZyy0pGqmJvtmXmKt4WoceLlteX7o+d//1Y948OABi4UhCkERBSFEBuBme03ImrqwzJTirfUCpOIw9DxsZvyD77yDNpF/9uNzBufpYkRIcFHzD7/zBG0ir7cdS1tQVzX36oIU4Xhu+er7j9ldBv7nf/lD5nNBpQr+ve99m6I8JbqAUCNPn3/O8+sDSlrWhUUp6MfMh68uOFvP0fSkbPBCgHMcgucwesYx0WiNLSxOCtrDMEnMBcg8UTsRiuPaIFE0dcVZPaePe/7k1YHb22sKWzCGTFIaxg5P4GbwkCWlliRpsRr6vuO//a/+e14+Pf/XVnF/KVYoXcjMS83DRxvOVjXfWB7zqK55VEh+7fiUb5+eMGiIoefVxS0//vwNr28G4q5FzwTRdRyljs18zu4icv/JQx4+WHK991xuBz5465hfvX+EVYlaa+5rw6mCI9Fzvo1cjIFHR5b1DE4rhaoVVhjem614fGZ4dbjlRZjz1nxJDB4/OLw4pdAFJ3VmrmrOrLlzQAmWcsbjec31LvCT1z2niyViZkgZmM/ZVIZf/eojjqqaWz/yjp1z1WZCjDBGhBaczmvOZOTWN5xYwclyxcxoyiITR8XNRYRScvzoPjMMJmWun73h86fP+fCjZ1xe7Dm/abFFSzWbk7LEmJJGSuS6wswKTE4siIgxUErLvG5YKElVNJR1w6wyCCW47nu0NlRGYhZL1KwmCk0Uihs38tod6LLDq8xBJFTZkAP4NDKzI67riDETx4GuH9E6siw1sR8QSlA4z1xqrBTskmAIDuM8gw+s64KcHfskKJLEm8TywYKvPzxiOZuzu2wRPtP7zKvDyM3tjnkp+NrjY7rDFHK+11h+8OKa3/r0S9yQKCvNb798zY8uW06N5jsnGy50ZNlYNrMGeseygtmR5t7ZCu8zD0/XHB2vKZSlvRxYy4LNakahB5yIDNIQcuZy6Dk+XvD+g2M28yV9F+ncSOkFtIHH9874D7/zmP/4Fx6CT4jgEFlBXoAUiGoBTCF8cpxUAGo+LfeLYgpYa0EWPSKnqVAResqnJTdJsccMWiIoQddkUU3fY+ykKbArKCsmlwwTYc1UiLScmoQ2I8I4kdHgz/b6JyNsMYl5hbhTGgRgmNY3g0eEgJQFZIU0ijxYclDTmmWU5GzILt8h/gcAhKrJ3pGlgGIiYEENrkdIIE8agUSYCF2imopVMYDrId0VjzIR45SpIUzAEmoJeZxUP2L6NyE9KWQery372NNGj5Mj3e0NbTcSPDw6nXFcG6IMXAyeq9aRxsRN62jbSdq50IbGZlZFgY8Jeg8xMysspbEIoFEGf+iJQ8LlyCAFQ7ulHTzaZUzKBFWwrDVWwY3rkboguITIikIJVgJs9Fz1PX/66pLzw5Zf/Mo7fPfxGQujkFlDVlS1hZwYQqTtI4OYyGwoQ0pwQyaSSVKziyNaaHKYiGQiBMassaFHIFEY5rpgWVm2wt9NLbpJCyIlhzBQacMgBuyypCk0yEB3gMZqTpcLaquwRpDVnRdyyASXGIbw7/6Q+St+SSXQStJ1GZUFwXviINm1Hdkn3vrWffI4YArLm6uRcXAkFxh6j9Ua3zmSrpk1BfOmmDrnRpJEZLvd0o/9RK/LmfOrgZfPXqJzYugERkBdW7z3hN4RXEIrQfKeLDxSZkopkEqQjYEoaA8doxsYxohWGRkhRsGh61HBo7InxoSuJhpqQpBJaCXRypDI6JzRSrGsLd98dAxBUhaS5aImpgMvn1/Q+oAio4hkl9FFQV1CNZ+IvlKqKQ8EGCu52Q4InRAmE3VBUZSo2nJxc2DfdniV8aPD7Q+Mo2XYjhTAk2WFNYYwTr64elaxsYZKCRbKclIoTGm4OozEnPjayZJSTWfC6BJbN/JLv3hMsRF0XaAuJB+8+5i//8H7aKEopUCJzL2iZgiSwcFJXVCgiD5wQ6D1U/62HQK7oedlN/KVoxWbe2u2bUeRIu8/OUFagTCCmdaoMXH+sqVNnnurEhUkSVmEtQgE7jCiDDTzEje0XL3ZE4JiuTIc2o6uHyil4ezeGWPq8Z3npF5Qm5pQKExdc68siUSqWc1yWVKFQNrD/SdLfuF4w2lhuV/PMVJTyYLP91uu+oEgMspMmH5pBfNFgciZ/bZFFop3v/oQRA26IeSBmAJeOpKIjHEgqomebGTBnRXnblNFYbLEqAKVF8hsKSgmLyCCUhpi0pB+fgOcwQfMXcbMkFB4pMqolFAqgMpoOfnXEgqDJeUwTb2EwDDln413KH036cwSIyUaickJGcOf5dCQdyubGSBQEiYNABklMyZoYlRMJVlApQFIYCRKyunr4DAWUnKT5zslEn6awklQIqE0SDRKT9EGJadsW+Lu+UnAANoBjiQT4O8mgJrvfe2EXTuwWBoWJxUzqzha1mQdOT2uGbTk892e5693HLYHusOex2f3WVeWdr+nPYz00TGKkZAGGttwerRkXlqOZ3Nizjycl1SFoSoUJ8sFlapRYiq2pZyKS5sChzGyO0TmWnO57ycnqoKmtvQanl/uiGrg137ha/hRsVCB3/7BR1zuXjKEnuy3vPP2e7y/uU+ZwLmMwrKZW77+4BH9MPLiZiAlxUnTUFtL6AUPqyXHRUNTWNbHc1w/crxpAM9ucOyiZ9cGfICmPOL+esV6UdCnPaSCtt1zPFuwXtaoHFjVgC7wCA5d5KZ3jH7EjY6xGyizRP45J3B/KQq4kCIvLq4wc8u375+CiVxdnTO2Pb9/fsPT20s+2fXc9GAaQ1sJrs5f8+bVLZeXLcumYn18hphpqrnm8uoVL7cjXiueHXZ8/+IZF1LS58y2DTycFSwqi2kKXl7dwCi5itDKkaukub4cOG4kezcQswSTUGHkVdezMYaqaXisoJkb+qxpKo0bOtbLI95dNWBgp+GtTcFGwKvXO7at41U/Ugj42c2Bi3Bg2SiG0fPxIdKVli8ZORjDk5M13zw9JpUGkmLbK6pSMKYCIWd8/WtH2JXh4tUNlRWsjtZctAk5wj0144OTM47KgqHfQXDMV6dsVsco01PXDZtqA9ZyamFjLVUl6aUjiYQsFT70WK1wQjEGSZElvve0wYHrpn3zwnJx64hK02fBm90to5jqDSkyhZ5Es35Q1M2KQ5SMqiLdUQDb0JNNjVACUxV0JqPqmqqukTFTp5FSV6yi4qSsuYyWLmXeq2acLRZcJsEXlzfsQ8d6pvlx77kaFH9ts+Qbq5LrtuU1mb9x7z7HgA+Jm0pxMpvxctuyl4nTdcXj1RzXQ385sFgIXr7e8cNP3vD86Y5HsyWfdXsurz2bPrM5W/FRDHzeOY5XS842S5Z6DkVBPwh+40df4IYD/xd7bxJr65qfd/3e7utWu7tz9mluf29dp6pcbsq24thEaTAKUVCQEgZMGCFAEQOQEAMkBkQo8ogBQgiJARLMEAokjiIGAYPtMq5yytXdqlv3nnvuuaff7dqr+7q3ZfDucpjhCCSXpXzDffY6+5P2Xuv9/v/neX7Pg+OG6bzh1XaHD5FpXVCXJaeHC/7ae2/xrz18g0evR6SSJD9C8gibiVcp+NzLllK2KOoEeBhtVsNiAF8iUklSmuhDPgRSpqYlH3K2LYr8vWFE3GLmiTbbFH0Pw5itkyrmrFjwoHX2XlvAzEla3hIrA4wxd8JZshKWAgl9q8ylXD7uAjGMOYeWRsJoESLbM1Lwufw7BJAVIPJAFTxIjairXCngfQZ8EXNVwm2JtCCBniEKRRrWhP06D7LaIerbrJ7RJA1KzvPQ4m1W6IRBqCLff1TEmEAGzm8GuqBRJGIU9GjQUOqCZ5s9n1xtOLvpcNaiQ0ISWbUtj6+vUFLx4OgAWVV4Iqop2HtL5yPbvmPVtehKYDQsZhOMlrhhz2rb0qVE8gpbNzjpEWSVsvOKglx4nYREF4ZJZdinxOASY9ex36755mdPsGHk3ZMlf/H997k7myClYt3uc/FxgH1wiKpAJsEQE1FE9GhxIVBGRUgKFTLSvygjqjY0M4UmY5YbHTG3DwIH1YTReS73lpICGSJaaWwSJMDaEW1KnIts3Y6yENxvGpJNdHvLvKjQQqCTQ2Npx+5P6aT5s3ulKCj0guODZQbSVFOuN222iBlNGCyvr9sMnVjfMLQdSMn5iyswmoPlhNP5hMXhFF0a9u2eo0XN8nCKLmpmpkKUJcmN1GSrrwieUgp0kQe9FHOipp6WJOep5zWF0jgiAwJTg1mWKBKyVIgkicOACAltFEJApSXKF1SVQRkwVUlQgaQ8EejalnG7Q8RIY/LrEIoXNuPou67Dukg3RrqUbdm7vkNqjRNku+a8BgFFVSIELCczymmJay3nT3eEMTJ0A3ZoEQIaU6NdwAZLN4zIIBBeMWkEZWWoXKQxE+ppTd0ICim5uN7yvYstT7Ytj647hj5ivWVSJKzJG/y3TiYcLw0+BP7aV36J3/w3f5P/4T/5O2x2e3717Tc5FJHzyy1GJmqTeK/RBGd5st5yPQbsbsB7i9SJL9Yjl13AEvh8u2ZlI8PesbeBtw4WvPv2HQYPP7tcMj0oOX1jjo2Rzz5dcbNraSYl7XbADgOFiUyrnIm23uXP69Lc1rIkZnhskIxVxvbfPZpzQskwJhZLxdmTS15dbjEzw+nbC3b7gd4lju7NMU3Bs7M1T1684ldP7lMXgkYXzKcVUiu+uLjm4+sbtnbETCqSqjC6ZHJUI1MkAfWk4lc/vMu//Rc/yJZuUSCpMCobJ52EUhb/DM6lQKmCKMil2HmSQ6YCEwpUlkfysjH5/NCrmmynlBGFzQNMDBgvQFUgYKQFaZHkaoWoNF4lIOUeRhEzJwwBXiOlwkh5S460+byV4Mn9bspHZLCY6HMht4gZTBIh4HBEosl0ShAoUeRezegyoZKIirnjUwLorPzJCDJ6lM4DmcNmKmUqCKh8b7HIVEqdl2dSZnJ1tp5moqeTBS56QmzzABgNNgZuNpf87uPn/NEPntEUBlPVHFcVEbjZbwmDZ9+3nK33XKw73jhdoHRC6gKNwo+WkDTOG8pKILzHlBorErWRXLYtb0yXfPnOXS73I+swMPiebedwY8SmEk/g9fqaRimKokQpw+XVhucX13z8es2zi8Anr3d88uwM6wN/61/5DZ7dwGI64zufPme7OiNQIGZf5v4v/E2+/uv/KrWOPLtZsY/wzt0ZP//eG7x95xgtNRC4O53TzE7oY6SeN1DNkePAYt6waS1aSkxpcu2PzQXpfbAEO9Lbji9uej45P8cnQWcHLncDTil2o2Pd7fEepnVFbSTz6ZJKgi4LhFZ/4sHsp2OAc5bvfPsRP/6jz/DDyMublzzuev7Bo8f89pNX/PjaURnBwWFDWdWEnefOZEa7Gbl+uWVz3TIkj6VkDAO0IGOJUiXnbcsn1zv+YL3FeU0lfrKlL9gGg9E133v9grPXW9yQJ5CjxYSHdcOirrnee946POHebEEII3M946IbeN7ueHmx52KvKOqINwq3bxE+8vnqiu9+/pKT2nB3WZOqDBJACFwMKKW4WI+MXUQGeLy9pJwGPr5c8fl6y/KNE77lHf/oyTMeTg11pRFRYzREK1gFuHc6I0jYby37fuTB3SPuPzzl/p0pd+YHYDRn1z1fvNpC7JiUisW8QhUKpCUExYO37tEYRbJQpoJCSTQOHzO5sJkUlIWgnE/ptgM2WIbRI4WmrErKMiCsZXQ9a5PY9wl8YvCRXiqErkgpkXxHUdYYna1cKQSc6wh4ZJS4EJBE4uioZMBpg02KykiM0izqmvsGhBBMTcFJAjt4ehwnTcUbTYOLgaaKTCYVKRU8frqnNJKQPL/36IxXG8udsqaNlmdXK76ymHKwKPhot+eTmxuOlKaqGn683ZBMzbsHS+7Whvm04L23l6iqYLtxvDMpeHjnhNNSULYjjSz48LDhxzcX/P0fP2I/CIZu5GK/wUmoZpr7b9/hYFrwztGcTb/nv/32x/yDjx/nIaioiarMfF8fwbcIRqhMJkkKn4cobYAyl13rlLvblETohIghq0xK5+8VYx7QCCTZ5dybqcHfDoNJgmzym886klTELkDsyZ4ABXiE3UFIUDaIaZ1hIULmonA7IkTInU5lnbML5QHIKTEM+d5u6+BIMfewjSP4EVHcki6LjD4m9STfkuRtt50yuYD2FlWekiFRgYik4KDQYCZ5sEy5dyjaETW26OiJZe6YQ0iSj7egFU+K7vZrgE181rVEZymU4GBa8+bBghgkREtCMlhPR2CfBN4nirKgLhtk3fC4bQkysahqEAI/WFSj8MGytSOSxFwWTFRFqTWgMaYkaU2tC4JIKB84aKbMihKZcm1DmQpGDUG4rElYj0i5+y8i6MZs0fzk1QUxed69f8QvvvMGyyZDa3yQJDSzpsREi4+CykfoI90A2xDp3YAYMyFttJ5SSGoRUTHgZEXVGA4nU7yVjCERk8P1A6NzbHtLC5TlBB880Xp8EIx+ZJAeGwIuShCe5azGhcDNfs/QerxWqFigpfnTOGb+TF8pJoJ2UIwYrTm9v0RKKMuGctEwrB0LY1jOSpqjJVqVmLrCEzh7fU6/GTg6PWAYLDfrPQLNEAuMUhwtK6pJLrdXWhGCv6XlaVKKlNOCMJD/FpSElLBERidRsvzjXKntA37nKMtMOVRa4ZIkppyfdqNHVwWxkDgXkVFhdCKkvO0vTYmLguAFMQWikMyKmhQDT5+fMyaLlZKtD+x8oJOSgYiRGh89k0KiFEgCyltE9HmTb0YiGoHIlF2fqERAyohQgkJJxERku5cqcCnSRYGWEWEcj9Y7Xmw2HAnF8TTf82xZ4olcbfYk7fhiHFiqxIOjOUutebHes/eSnzk+Qkv4vY8/5+V3HvG9jy55841jbm5aKmN4sb1is+650yypJjM20ZGMpdTwYnBcAk/CQBKZpPdk2+OiQElJch1t7yDBO7Xmzp2Sb714zfFBw3JWEkvwtaSSicpH1p2nnhZMjMT5RFKGctnQ9yO+EwijWc4q6mlJP0YOjhpO3zxit2/5o+9/Rl039MD12GPbHW8dz3nrIJOYp1IyKSqikOiZ5O7pkkWZF5daBargcWPgcrdju+2wISBFpGpugVlJ0tqBelJyZ9Lwt999n7/6xnv42OPJAJKYEkroWzDH7eAh/p9qvv3j40sLCUIiQ15AOgaUsCjhcYwYGXBnAu8AACAASURBVHJ/rcgwr6AiUZIXgbctJwaNiVklU7dkxRBuyZEKXHLo6DK9UQaidER6HAMwEqTFCc8QHSOeUGhi1ESpkaaCpAkEgqqIqNxqECIh3j6WJ3lr35zleyFmt0XU2SKqckWC0hVKRgJtbj+QGhc9+AEVE1EmIhLn5a1l9Cc9jLl/0FFAPIBYUFKjqEGWgEDNKr755Bnf+9ELymqC0BIZBYv5lCerDU/Pd1yst7dAtPxe3nvLJo7UzYS6KdCmwAUyQCUlSAHvMnwlAPN6wr3DGdOpousHLjc7vE1MVI2WHiUiOkrOLq/5+HxFoRQf3lnwcLHgyWrL2b7DmB3rm3PAcNbvefT0h/z8hw95eXnFO/MFj15f8dmjV7x89k0ARHmPn/m1v81XH9yl73t+/9kLPnnxihrFQSVZ7wO9FCwngaKcICXUNVy7xPV2JKbIYn7ARCsao0Ek5nOJi5ZNElzfDJQyYJ3laFqzHwfWmx3X+46n5zdsO4uWgnltWFYTjIycLBoqEr3tM8TmT3D9VAxwMST6QbBdRXYKvnvl+MHrMy73OgcKradKjp1N6OCw40i73mO0JPYDenAkm8seqZaoylDXOaQcRsEPX6/4xqPn1I1k0AqnJWufGDaew0qDqNi1nmcvV0zHK2Yi4pAcV5LaRJIvWDQNB/OGR+OOoBN7rZAqUIQB20akVRzFRNABS2IcE//705d84/OnfO/5S9peUAMbN3LXKHZ+4NVuzfmmZ1EpPnr8mrfMIYOJ/Ef/5P/iv/rdb/L8aks0ir3bsu1alPXcP6lw24FxP6JUhZCSxUHDKqx57+FdrvF8+9Mf8eTxM0LvCZuW3g4I2RJ7QVIFo3Mcl1O2KbC3eZM+BkvnHEqWaDGhFFA5RV0VFDJRTTVllBSqYloWTGKi0gVOQRWhNpp1Gln3liQ8vm/Z7Tt6mRhUJIotOia08iTn0U7nB72oiTaRhkQIFopEoTJeOQwOh6CPgiPlUcny6PKKtu/4mcWCnz89wKnE956tmPnEQsDHmyuudlveuzvja3cWfPNyRZppfuHhXd46OmQYPV+9c0ztBS+uO7ZScHBc8tai5LPnO05mDScnoBvJD59f88XrDRMR2NiRm7MN5ag5EiALw52jmqNa8tHzC/6n73zG9XbDctGw21nOLvd0e0fsAjFKhv3I87MN3358yT/55CnX+5bkEzKlTK6SDiaz/MFp86Yw+WwFJChEqDPGTQGhR4TszaeekISAZGDswLWIFMBUoDIMRbBHREeSZR54VAn4rHCZbL8TZYI03JZ6BygCeAEiZBiWNiThs5qnJJiC5IdscQxAmaEBKezJiWwNQt9mWFw+VRNZJUsZipHahHA9KfqcrYsCoiCFPts4pYQibz/xMReDx5gHyTLTLSkMMaqcxZOapAoIQ8abRwMx24lkdLnwOoWs+hWS3WZLGKG1CS0V7xzNeff0EG0KPr++5qbvuNhv8+8RcdutlVhIgXUDL1YbuhTQQGEEOiVmSjFtKmqjGZOgbAq8D3TBI7TmoCzxY8fh1DAxEAdLj2A6m6CkIZlEqSqOdEXTTNAq484lkcF61jYyRsfH55f80+cXrPYtby8X/JX336LUhiEGKhGINhKSQOjANgQ8kSAStU6k6NglT0o5KzEGSTt4Oi8YoyMETzsGnABTFkgXKJYNWkdufJcP3xhxKhfaJnH7ul0eXLdO8HrvkHXBw3sniGS46QfqoiQKmFU/FeysP1OXj5Hzsys++eQC1WhstJSlwXtPYXLXYXMyZTKvkSGQUmDs9hhVc1xPODqZsd13JBRNXdC6iB0sZVMShMSOlt4HkJIYIkokbIhYO2Y0fFUyqUqS92y7ACEgoiN6SyMVJuV9fgiJ7RB4+/CQ9+/P89JQZSuk9iC9RxaJbgw4F1htW7wLxFjhY0CLgFQaD4xRIJKkKGt0peg7wRg8VV2QyMXgJEVRKowSoDRSKFwv6JMiiYR1uXYjBEtSkaPjhuNFjdAlwcB6v6dPgVRoYsggiKqpMEawWg0IaRiU4NV+4Hq757A84M+dnrCMBSkKOhfARvaup2bKWwdz3lpM+PDujMNJyULXzEvNJ2ef8W/8d79JbPe8MT/g0eU5HY6YNF1IXHQDi0mJlIoaw5TIO3emtFhe3YwYDevWcXFjCTbDvnRR0HWR692ezah50MyZHjZ85f597iynyGiZH08QNZyf3SC0YjKdMmwDboRJUzNfzkhE7NgyrQ2qqrhZdfSbDjEKopecXXZ0fmC82IPQ1PMppycLtpctP3zyGlMVVFKwenxJ1zlO7iz5hbcfUOmKh9WU04M5r/qWTy9XPN3C1VlLvw4UtSQmwfq8I3SJsqhptKEsJOtx5H/81o8JqSWDqBySPKwFfB5ekLf28QqkwJgMDPG3eH9HIkqRVWohya/I1OdMdpH/bAiivq2wyQtOjaGIuTzbRAhEAj4rbnlKotETvPMMsQc1IlVEKpWrUvWMKCqiLPJeVYJSGqNLEBWgqKJGxdxXJ4NGRjDRZJK0zpZIKctMqLzN/ynIjjBDHvB8cfsJoSGWmYoZfX5v3H5Z6hEpB5QHQ+7Sy7UHGWwiyVCTktueOl0gY8Bh6ceCF2ctdV3R9ytk0tSFwoYcsXhxseXHzy+56S02ZjLl2dWGbu3xKSC8xQgBEbTJZueyqjhoKmQqqWOiCAJDYOcCXsHNOosddQF1YbhbaQqlaZPm9c2KHz55yaOLCz7f7bgaIjfbNT/4/JwnVzd89vollxvLZ2cdp/cVf/7rX+ZHFxveODpkHyLf+uiH/Id/7z8FEogJd770dd6594BXL1/xje9/yrpLHC4ajAu8Olvn5zIV8QLa/Zb19Y5CGLTw7IYVUkiaaUNVVEQv2bSWbZ9rGPZOMFseUCjNpK4JaOZVjRYKUiIkx2ADdaFJIbDtR9ohg5X+pNdPxQAnkqCYNPRBcpHgm1drLvcWU0aiFrT7kS6ADpnGM1poo0SWBYWW9EPg7HLP2Ysd64tt3tKNiaQEclpQWdhfbrkO8O2LG3YDrNoRP6w5344cuYr7h0vevneEpUSEmpLE5QhHqeAdDfePFbVWCDsgd46qKvATzXW75htPrnklBMvpIcZXRJeIOtGkmnoy52B+RL/t2Q8eKWBea2amZjWO1LWhGRN36zl3lppZYRhbCz5vQKsAXSd4Plpu+j1j3/HWlx5SCMdSGR7OFSeNo/Y9l8OeF6+2fPGypd8H3rk74717J8iYN5aLA8E8KqYInBx4+uqcKPKDbZVKiIJVZyllYBgDmy7gbYZhBFVgJQjd46LDCvDe4/2e1/uObZcQRWQ19ow2crqYcHc+JSGpUFQiUUWHDgJkRRcEUntirdA6oGJP5x03m5ZSSnCZxOSSpc7HKnUoeXm55vH5jput58AsaBpBmih++fSYFz18fuMolOHXP7jLvJlxfDjjg3t3mcrIk0cvWa06Vt2eZ6sdN1vLEYEKyQ/6nvvHE37++IgYHI+3F1z7gS8vlnRSsVGWt+4v+dL9A4Z25Gi5ZDldcjZ4fuvTV1zuOqSDuhTUlSE5D73H9p7LLy5o9IzjZcPjqxUWz7wxCFWRREvSFdEZcDYfLKIEJ3KnW9mAcMTQ5i1XISHlkm96mfNuKd4qczJn5Jjnd/ZgSb3PKmiKSFOSTAHCZsslNkNQwpitltUcISJJA0UJZUVKljTskdEilQTtiCZ35aDq/AYOMdtFYguyurUqRkgGGQ1STsAbhFFZARuA6Egq71KJt+Xlbgc+IqsagiElSEMi+UCKXb5HXaDKCTKG/DOHAYJHSI23keA9YgyZYCmLfG/WZhVPaZCSJBQCQ1lMcH6kIOfWpIxMZiVCKVKSCF1gLGyGEUyGgSldgNIsdMFCl7fER402FeMYWSeJUhqZEnb09MlSVXCn0dSqZCoTWlfIBCfzCcuyJNlAJTXTmcLIhI4DIWqkHZARqiRwQmEQ1EazGjxBSV5ebfnuq3M2fc/BfM5XT054s5RM6pIoBXYYCClSicgmWjAJYsLqgpQSQYBBMRKwUaJEwqTI2PZ01lNWCikCQkj60bMaEr33vNxuONvvOKgr/O1gHZF0MYLQGOkoigJGi0+JZWOYNyWtdwTh2f3pc7P+zF0xJEIfsO2ecRxRYqQqNKUuUC6ihOXm9Z6bVYvRBoVgoifMJjPu3j8hGkm3c9hhxHYtkkhpFKbIvYhe5vdm70AXJUhP7xy1zp8xMUSCyg/CJgRKobHW4j0MYwcKirJA4RAxEVC8dbhkMquZlJoQE6aq0bLABY8AREjEICmMguSIBOIYkD6AEjgXuO4H9uMO5xyl9IixIw0OpSOVVBQpodCoYgKqZN/3aCkpjUImMqI7eFZbT+8E9XHD9W7P3o8wSGRR0DlPd9NTlxqRIm7sibeU3YvXOxodMLpk6yJG5JqQLrRMJxOW8wVXIwwuchYtj161vGdq3l/MaKTk6XbHhw8eMp+W3Ixr/vN/+L/yj777hE8vsvqvgkIaybYbubjecDIxlEowRIHQFcoUuNFy0w841wMdQnuSFviQUMky9j1nbYsXkq+fnvJsteK0UNy/d8S9ZUVSBanWCBdph5FeOGSpmM9yTlcXCiEF7U3P5nKL03lhcPHqms3ZmuqoZHl6wPl+y6KZcHxcILTk8+eXtKue+7MleyI76ZmUkqWaMEcybQTTaUK6gR+cr/idxy/4/Y8/I0WLbBL7/UByjslRQbCeOmj+5Q/u8e/85Q9ZSsU//uGnGFGiFfnskxqdDCU5h50ls2yxBUUIkpAiISZitAAEJUGnPKQEjURiZEGUmQYZQsxwk2iQAlARHXM3qw8gRUFMBvAo6UH6HEWjgqBxVKhYEoLO1n+ZFTJFgUmKMsBEaGSW7JCEfCZlNGQGmgSPosxDJAmEwvmAkTGrbVicyj2NQURUsnmpicwgjegJWgMlSlZ/XNYddHbZRDtA7JHSE32uVgi3hefEXIye5ECUHY4OfEeMOyQ9v//Jd3nzaMG0MJzMDnn7ZIFXCe8DbVCcnsxZHi64WLdsvWPnchRjOmtQCJLSFLqhUDkjq8WtPZTAopQs6gWHk0n+DBoHPr244ap1jCEwBEutJKUWGB1IEboguOxGvrhuud5vmZYF/ehYtZ6rbUfvUk6OBMePntxQSvj1X/w6P36x4vRQ8eU7D/nXf/F9/t5/+Z9xfvUpyMTy+A7vHd3j7nxJGwZkY3j74SFRB8YRTiY1MiX63hJSoKhAeokcRc73WkehBNYGGAeS27NuOzobmSiVi8VjjsTIaJlXGhUVV5seQ6SpFVEaCI7DWc2dw8Ocqf8TXD8VFMri6CAd/Nov03WC09Mpv/TBXabLGc9Xawqv8UVkEnM2qFUVdr9nMit5/NELVrue2UHD0emctm3pu8RiXuJ0Se123Kwjbx5O6GPHv/flX2R+XPHxzQpFQIWaN6aacxcofORFu+HbuxHVWh5UE46kZ3J0zHPb8aPnlxwVUxotkDFRmYpqIbBtiy8E92zJyo24GHl3sWQQMIwWI0dmxjCdTKisoDIFz7sRqwaEbFhfXfIUwZtHB6xWLdFuQRluouF0WvO7nz9hPiuJwaBlIImCLu6QrqFcCk6S4njW8Hy34g9+7wWJEesjQije/ZkTfu79Uz5+ek00gdOjUz44aejakbPVwO/94ed85ece4r2nVDmzkCTUWPZC0FqHTJI0WibLOat99vkSHcm2JAmNLlBlyfVNiwyCgztLVExUER5UBqUUTigWAjb0zIoG6yVd54jTAj9EahWpjObGtoQxIqVkWpaUMtHHhA6SRkOQillZcu06fry6AR/5yskRv/Leff6bjx7zXlHx5ftLzm4833n1gtPlIb+4qPn+2ZYrHfjZBycsZOJ/+cMv+Ll379BojQWen2+YVhoxUwybwExEThczirnh0WrLXzq5yzvLgt/ZW37twSET71iPkc/OLvk/vzjnPASi80yl4OK6pZnVtKuW6bLm3sMJuMRfee9tfus7n7DrHcvjmuP5lH/83/82hD6XY1cGwgDdmImTIUFZQLAQTd4MmkgurFFZrTI5G5YCmeiYuKUiBWISedOnWlL0ueT61iaDcJkcqUuQY86kjbkjR6gc0hbe5sFKAbegFKzIKpwq8r/dWjmTT4g4QjD5gGNAJANFQ7L+tni8IMUhkyiTIUmRVbhuzPckO8CQtEfECVQqK5EhQKERIc94KE1y+1zpwwLSNq83YyBphYgqWyvlLQxFlgiZbbxJKkTSgAEFH/7qh1xvHA8OGt6/d0gfI5ddjxgjoxBE75HJYUXKhbFScbcxVEpSYHAJhNKMNsNYZJk7pcYxcFAUlLVEIthFRWkgBYcTmsNS40PC2URdV8g4YoTER8kQMj55dJ6qLHA46miQUuCTx0sJzjGtGxoT6IJkFiSL2YS/8MEDYhR8/+yaT1+ds0kjYYRBJ+6aGtc7xuAxhWR0ud/KCEmjM4a+jw5Q2DGgZUddlcRUUBnFvvdEBfvO4hgylKIwfHhyh0Z5lpMKITRKlBzNq5yHjA6nNErk7qabcWDbd5hK8R//W3/3X1Ao/zkuOZ+l5ld+AaLggz93l8O7E/b7nihL6krj9wPdCGM/IJRit9pQmJL9tmd5ssSUgu12YH3V42PLYjLn9K0jRm/pd5ajowl2dASl8QKWssHZLTEptACpIkmXFJMaXWrG1TUETYyJspZ4pfCDICWHc7njqlwU+BAZ2xHrAtOyQAmBtR6takQYcEHQB4ezPcuyoTAS5yOTumJnPX0/oCtBWZdsV5boA3UjoDRsVgPlRNPMDClEdGkwJj/Mb9ot2iqCSFibWE4q9n5gaC1GK4SQGC3Qk4KxG9ltHFEKlIrEIDDCM/aOm/Mtv/ErvwRlIhWSZxc7iIm3ThqebVrsMDItCyyRBrh7esQUw6ws+WxzzUQrri5bTmcNlILvPblGKI+Qkp+ZL7h/NGeuBb0f8UmhZMFb85Ifr1fsXCJKxd264P94/pJp1TCfzGiH4XaXp5hIWJaKoRtRsqKsDWWTeLLas79qef/+AZ9sdtxsRp49ekmhJFXV0Mw0JIEbB4I07LsOosplxDZgFnN8CpQh4ZyFWjNbNqyfX2N95OjhEZPGcFzNePrsGXfeOOXeVPH8puXivOWX3j7hb/3sG5x3kU9uOr7/esUXr1fIgxK7GilNZLKs6BOI4KlS4rf+zt9ktRn4n7/1hL//8efsuj1zBIkAURKVwKfx9oy7zYIpiUWhU8pWelERVV4ISsxtXYxHRwMkkFl54lYxlgJikowqgoiYlO3AWoKPOZ+NkMQU0UIRQ85lS6nwIYGymeIYI3/8yO0s2pQQEl4Kgmhzrk2UqCQJQoP3GAESg085c5WHt4QMFqjyUY/H0RJlRFLnap8ScBKTQ384lSBEorzNtxGJNt6CUuYZ7qUSStxaQNNP7jTm3GDKdtQQJSWRURXEpJDe8+//9T/Pr7zzkONZzXTRUJSS3/n+E3rfstp2DDZik6cdoPc9T/uO1a6lKeCwaljvE01pSMoQnKUWMPgREBxXDf/Bb/wy+27k+abjDx4/5/ympWomRD9mZYrA4WTGG4spF/stOxcQSPZjoggj757c5eFJzR9+cYbUiRJNU9UoLTmelBxUJb/0pXd5cO8u/aj57MkPOLlzzGfPL/jal97FRE+hKy5fXPKy2/PgzoKD6ZRXqw29HVgNa5yo2a53zJsJ630L+OyMUopSaUylsShi6MALmmbKvK5ZdwMX60tC0OzcCEhuth0uJfzoKQvFsiowKoGqUGmkS4Kprvgv/u5/zePPnv2/+ih/Krwsxiimh8eUZocLgb2PXL54zfNuz8Nmwf3lMSjL694Tlcdq2LURvZQo3xCIzA4XWAlNlfC6Ydi2xKDp2hs+DwOHkzkfrc746uH7fHzW8dWpZBgdP7KGfddzWJ3wajTU0lJoyaL2DN5TOIuSDafTkqJPCKOopGflHA+iICrJoZoyKEejNctC4yrFy1c3HB3WrHzDXS3QY2SXEiWGu1PF5ajZu0hZT3gQI+u95c3DisqXfBFG9q9uoAyMWkFV4YYd/eioZQ70Bj3Sb2FUgrXJ8I1kPPVyid5saXee87M9PxTXqBgoAlxf3RCdozEOURoKHbi52GMqhSg0xAGvA3FUWASVMZTGspGR0A4Im1jZgEFSpApVRrY9TJPATCYQBJudZVqCqQvWomRZ1iAcve+RsaINWVmb1BXWJbSMFDIX/87KhouxY64rlBeoIiGlZuh7TKy5M1GEaPhwuSQJ+GK9w0bF04sdf+NrH3Kz7vjRixXPLzcUynCnmfPdiwvqZsovzzJN7aPza756/5CDouByWHMxeN46XnC3rPjW1SV3JhUPm5KxC5y/bGmN44t1y4/ONmiZmBzOmNUV37xY8dtna662HZPZHHNYEh186bBk5wNj26OE5MDUHC01P/jiFd5KkovY1qEmgUSHrAwMLanXSJHLPKP4SQ+czErYcKtQSQ2zGXQR0h76LitxIuca8QGEIaqULYvDAAhEoQCN0CF3vImUVbLk8s/wPRQzCIKkQqYpRgANwiMKnTNltQabSCiEkjmTlm7Ls8sZwg55aAviFpZiwXpEY/KQR5nVvSQQ0oMschQvDohYZmuMrYAA7Q7khCQaRLQkm0ANJEpQDcS8KRRaklzKhM1+gEIijEOIhuQlJEt0Dil1LvA25KHQJayNTKcFw2h5dbXh7mJCmQTbIFApW/5uIpgx5kyPctx0UJeKeZGoC4NVCmzEJYkd8sZtUiXWznJkC1rbYUxB7w1VIaiEYmgdpkyYcorzAu8STZl/jaXU2MGhVaTremRhCDKyGR1KCOpbJPWmbemNIiDR2oC1PDm/5oPTe/zsvXtMk+S7Z68ZGzhEsG9drlkoNDbmSOQ8arQxeOEYOkghUKiAUApJhU+KQQS6vWVaapy0zGeG605jncf1I+M4UNaSfdfz4OiEQircOOA6h1CaVo7YOFKKgqo2CFWzG8Kf1lHzZ/bSWlHNDMMuEFNB22aoiIwZiIMoCXaHSAIfI2nM8VLrHL11BARKCBbzgmEInL59DIDQGmks7ZgojMYIiYgSKTxVWWL9iFQKNySqOuGsJ/QDNoCJgajAR4GeF9hxi04apwNKw9g6VFETvKAQCdxAlIqQoKoCyUcqWRDbgKRgXpc4N2J94IPTBf/0+RkWhxA1XWcxPlBWJbOjkk4n1vs9zgmULAmqyJnRIBj7nnHjKaYCGxxSwLbzeO+YLWeMvYOUuFp1HKBJJAotuV4PCBKH84wCjyqxnM3Z05PawEI26FoRomPddRwdTxh7QyEC217hupGyA9PA1W7NG1XFedfjC8ll7JE7xZ3ljF2/xyfP51c3FKpALUqMLhiDRavI2WA5NlPG2LNNgVJqfv7hCde9o5AgtcqUXRlQpiJYMFrSuoFh7/mwqZgcTfm8rPjs9Zp/6f37XB0PbLYWv97TbzvGUdEczDg4nPL06R5TVdRTgw+OXb+nFBVH84bNrme36VjKOcdGsSsNRmlMnxi7ke1BpFw2+Lbn46sEZeDtNw/4Cx++zcZrzndrHl2vWLmOJD06GLajxdlEuSiRMRe7a6kY+8hvfesJ/9vjp+y2O6gSyRfEmCsDZCrRssif6QKQEhuyEpXFuBJJykdXBI0DabBRZ+WL2zYBlTP+Mkpi8redpR51O9RFaYloUBmUEoMn0KLJVTUxpWzJVzq7/skLDnlb5iYNxOQy/VT42/8nd7BJoZFJEDM2kng7uElE7qKTQ4amIEFm2ElmBxkIYIiMziOpGBkBjUSBzO4uRcyLXF3kQRRPjCI/G8gMJVPe40yFxGc4y0/mOenxeGLyoGpidJzogr/0q3+VLx5/hB0cL7st3kfulhPiBK7FgOsTfWhZjY7zix1Ba1SSrLWgvhU8CtXTSkk3jjSlpFET7i0OcGFkTIJXNxvqqHjvYEqQChsDGo0pZwQCm31PSJFtPyCDQSTPz75xyt3Tu5xMNK+3Hc9vWqzw2K6jULBsCmJKPF3dELzlwf1DAiWrtuNrbz/ko8+eY5TgwwfHvPmVD3gzwebqgvPtDUpCKAouX3V4WjY7z3bfM69nDCFyOKmwY2A5qbmznPLDVxe8utqxnM2R5Z5un+uJxq5HqoZk4WRiuP/WHb64vqEX4KMlRENlCrSSHBweodsOVU4zsf5Pci78/3O8/H+7Ukosph55dMDVzcgQOg6Kgleu5Mx63kwln67WtN2eu0d3EapgHDtMc8BkPrK5vmD9uuP48JB1v0LXnuWsoG8Limpgt3YcycQ3nt6wqS4YfGDSHDA5KPnmqwte3+yYV5F5rZmUDd4FUooYJhhKpNGURY1L2yydl5q47dheeFxZ805d4asG7VYc1CVtkMRpxVW3R5kJN2rKUiacHXjeb9kBh9MDRNxwOD/kSPTsR7jetbx3usQMuZDx2WXPet2yvtgwnWoOZwtE07DftdgxMStKXu33tNuOq8uWe2/f4cHRDL1b8Gw10vUDy6akqQ3bq4HddsfrMWFjIDFyNF8SiPgRhG0xRcKakjEFonMc6QovagqtuN7uEE5QIhGlxiWXt2JC4HygbEp0U2DHnu3gWTaSV7uW3sJhLUCVqCExysQoR2oVqWWZCyVFxHYW9JKHh4nnNztMMUUnzVwJ1pOS62FgGCL3l5oX64E7VU06hKfXK7btnn/3Sw/5h+MV16Hj6x/cZ2FqXqzXVPMJ9yeK0iV++PSGndJ87Y7h/KLn4/MNb58uKAvJ632HbiUnB5qXTrDbtWAHPjw94mLY83A242unB0xUhRAln7y+5PxyzbQpuHc0IU0Fm6uB+azCbiyi2NOYyGk1x+4CH716RTGpAYPRGi8VQk1Ivc+I/yRJpkLEDtQBiP62901C3GaEf/AwtEC6VegmEFWmO/6kj21ss71Ehez5kwZiBncIFbO/PubhiyDyT1Op5QAAIABJREFU4eId6B4pK9IYwQ8II4j1DBEE2AQqkFAQR4RpIO0Q6DxcSoMIkZTMLU0z/TGxjrIgeYfQHiEaRIjZjugdcdjnDEISpKJAOIUqpsQ4wKizcmd6UlBQ5M269BH0SFQKJSIpBhIekIhmAi5DE6RS+Z6FQXgJJm+WU4CUFCLucE7STGqGvmU1gnIjPjmS0Ny0nmMhqYzG6MSYBEWpcBpsiOyjYgwR4fY4kfBhoACSmVAI0FLiRaK3DlVWGJMYfH5Q1FKATxjjcCKhRQYDeSGQCIyJ1FVDbz0EQSAQQ8TGgqqCrh+pgX3vWU4njIDqOj5dC1pyL+U7bx5RTgwfv7zibHeDKhJK14SQ4Q4eSSxzTsSNAV9ACBHnJEUt6e2AHxQpRY6aOpPUnOPaWio8uwD7MfDF9Q1vH81Z1hWvti0PlwtGN4LWxBTZ+wGjFFdu5L4RzI3C/ySk/y+uf64rWM3JnTlRiaxkI7DOAQIpJIWUOKMJQ0+9aHhwsmC9+b/Ze5MfzdLrTu95xzt9U4wZOdTIKhVZJMVuWZJFsW204PbSQG8MA17aK/8D9sILN+CNd9577VU34IUbhgE3ZEO21G62KJGSSEpkVbEqM6syM+b4pju8oxfvR6l3Vq9aAnSBBDKREd+EiHvvOed3nmdkv92TWk2/nlgdd5w9vUCpSAgRKyucNBg81tbstx5blwmwyRWqqotyMifSFAu4KAcqKdFK4qcJLwSpdzSdxQdNkzNCC6adQ/iIEIG5tQTnybmQVk1dM7nIuO8JUqO1YR9GAgJjLJ8+PJAmhxWl6RVCYlUJpPLE2JBjptU1TWVRyRCTI9qMGwTD4DGtYqCcQ8KYiMGBLkWqdJGH0WGURqnEzgmyi/hxD2i2wmNsg6wkT5+suB8iMTh8ViyMZuM9uyjpkud4adnv9/jB45Ln04cbnukTVlVLjBEhFFIkhtFRWegazWk34/nthlFHfvr6kiEc8f7pnKN6weVmSydBmpqjSrJKkrve8c5JQxKC+/XArLIklYgh82hm2I8BlTSLWuJdZDtE3j89ppI96/3A919esmwsx8uamzHg3ECFJHvJMCbaGo6PG/YPER8DujLs7zfkPpCMoW4rqkrw+ssNR+cLpBTcvd6xvtvx2C9562unvHj+ivUAX/vwiN945xGthau7nsttz3qaCOOEsJoYPPVSo1JgfzeitUG3hvfePuW/+ad/wM9f3LPLAbu0ZCVIGweUHbAkI2SFjrZIZZQjygIbKfFCqGJAKlsccXFEoIvMXQYkFSlFpC7uNikTSSRStqis0dmVAkxBKaH0oTjTyFiRZDjcWB+EaYxIJD7nUvCn6fC9EzJ2pJxI2SFjgViV8nEPKKSySK8JMvwyTUlEgtAkJEnGUoxJi8kleKOkLZj/BKiAlAPQQCy6gr+KcEoUkqgTKW1JgJcJ5BzjFVID5PLakkfKCgWMh4lcjB4VJFJqPv7aE/bDC2INX95e8+kXV6gAGznDR10IpFNgNxTmhPeJsPecPp0xlxLTClwyJN9jsyPrBpsSjxY1Hz85pTYNv7i+QvrMB0+PgMSr+5EWCTESTOR6vePVGDlrGp7Mlwz9gNAVV+PI/vINX//Nj/j2eMbj2ZzPr2/LlmNw7LzHkmjWWz4Zei43ju/9g9/h8x99n19c3vAb33qH3//XP+GHn+z4TQLzkzOWZ0/ZbTbcjTvIoIVCG41eeCok+6knkRl9oq1ntE3D/X7g0axmfafRZB7uRjw9O+cxVcduvePx8YKQEtf3G0QUVAb8VqJ05GSxAuHYbTcsTI0LPX9J0vn/Of5GFHApw0OfWTaSeaP49qO3ODmuuP35FQw9TxvF//tiQmjDF5/dMGsz/TQRadj0A8OkydNESImByKoq7qn2kea8mXEnBsRxR+9HPv3qkg/Pzvjxmwd+552nXPqJZDIProdU8U6dyEdHjOMAcuTN2tHojllnubEnCN8zCk+MkZ2uqLPkatjSVA2zZsmyaamS4kxrHtYBo0ARcLLGkWmsZru+Zwgl1x/sLapb8dFS8S/vt1zf3XNUWVpVoeqGlbhkux/Y7AQr2dH7gd3dDW+fnYAJ5Mqy30S6ec2HZyvef/eU27uRy+mWQTs2PiKt4Xro2T2M5AZ0kOgQsfOKVjl8WyGSQKTAymp2PuPI3PYPWFGjUVR1wygdIhoqq4kpoZMopKsUid6jtECpDCmwHib0zLLve+ToOF+uSLXAkhApkZNgShOm1cRRsrSGbQo0suLxUc009tz3nvlMc2YVG6HYrD35OJOyZuj3fP3iDDtr+eL1A5/cbHhbdbz9zY5Xl1t+8vKen3x1x3/23Y+48hPPX90j54YPa8sf3Tl2uy3vPTmls4r7fseI4f3jmn2f2KmM7AzffrLCGs2b3Y6vr0741ZMjghBc7QZ+8vINJ3PDh09OuFoHhj7SiIkXtwN58ixbzVFzjBGJP37xJVJG2kbTdTUmOrqmBb8DswAnQCvwguwVohrAD2WKpjpoulK8+VjE2BjQDSV24SFaSBNFdiaLJy2tyUJDV5eCbL8HOrKaCo1Nq3I9GYpAF3XoXYYA1QH+EQvwI41bsBqpJKKqiW5f1AAiQC1gP5BGhZipEt3IBpES1Ach+W4EqUnsSxdwJ8itQNqKHB2IQqwUpialLXl0yKrmL1UCoQdVlSlgnhBeIExDShKhKd3Fkj4hKY9IFegCOyFO5OwgtohU9geFimA0H53O2FrwasbeJz693FMpgRYFTx5szcIUKp/Lvji1WkkMlsE7bFuBzjRak2PGaUWUkdFJKhGZsmC5OqLODi8lU0yYNGHnhugSYXJ0jaGXCjmNWGvRQuIx7JykkRkZE302BAKVdKSQaIwmDAFblYBN3DqElWTn+dmrK9bjnm+eP+Ibxysetx3/0/fvaKwiC4mbIl5C9IUC50LpRtuYkabGyQHhMpVtqaNnsKp0gINnGwS6qtBBMYodI4FtyPz0OvDBxTlHcsPdOtM2hqQiyWdUyvTjRDtreehHooSqbf6dXWv+th4pJSTQLS1dBYmKlCNWBEY/ln22RjPGTGMaxDRRr2qa2rIZHLc3ruwinnbUs5rsPFLbMr1GMriJqrb46BGuqDV8ciybGePkENIgpcIPAdUqshL4MeKyQYQEvUOvavrdBMpgYmbetDg/Ulea3TBSoxFSYHRm2O6BVHbovKMyiq3PaGGpteTmfqSPoDJ0OiO1JIrEPoF1E45EihFTS3wsblZQmKRoK8P9NFGpQE4Z2RgW2vDQR6YxkrMo9Pkqsbkdcd7RtJa2qwguoKLm9LgjjQ7dGgbvSELQh55VU9Pqisv7nt06ctIeM28XaDNys5lQleLmfsAcC7xIhEkiZCYpRSRzs5uoleViseT5/T0Prudnrxy1NbylGoRKRClJOdJpDVIRQsZMkrfbjugy+zGiFVirmaua0xPB5Bw5BqKExaxjv3M8W3V86yjweT9wd7Pn7bOKzW7DcbdC9onNdsd+kLz9dE5ymU2/paoM1WzJ/n7DfT8xX8DydEaeIncPPU/7iiFHgoxURzVSV1z+Yo057nj33PI7z57y0dEKQ+af/vxz7qaJTfDkKMk+EmQoO+JSk2LmtFb82odP+Q/feot/8pPfg6WiEaUxPG49Vh2gIyUYiBSJJC0yJYi+FHZYZCl/yiQKgZQKkbsSldQZKI1CiyKlw6MlDtOthKR40tARciD9Eg8hy0RKqxpJj8uBiEQmXYiP2WGQQI2mKukOSiwToUvKRDhClMRSeRGJQKLSoANgbBGBZ0rEkoBKCikd0CCFBRwxg1G6+E9VQsXytUYeJnZBk2w66HoEKkFShpgTJilQAUgFXqIAURMpkzokkDRGOoz0IDUySYyO/P4Pfsj1PrBzPSobmtYzs5m7fWBhFdvelQljVOQQqbRCDqBsuXZWZLIxxB6Oa8P5ouV8XmO15w9fXXF9/0BjFKMbud2PuKy432xxPjCrLTrDED2IjsZqktcok9hMEzebHT/+9DWPV+ect4r7MPDi9R11ZWml5WRWg23QMuKDBxF579d+A/ev/4C/+OwFv/Pvf5vPP3vB56/vUa9vedTNuHj2jNMkefnFc2azmsFHXI6s+4lFN8NlT8DSR8fuasLUgug8yUhcyhwtZ9xsd1hp2faJWV3xsPeEnAl4dIYoFHUrUXWFiz21kuz2jg/fP+fhbvPX9sD9zSjgYuTh1Ybpeke7XPCvfn7D4rSiRaPqGZfre07bip+/eAW7xMmHZ6S2Jm4Vp++f8OXzS6QdcbMlj4zFCsHL/cAqRrrFEdVk6PuB7vwM4R3LJrNPFXOleAgBkw3vHp/Qb0a+uuu5Ulf8qum4PdDYqimxtJL91jGTMEXP8VyTqXm8qNn5ke3DFfbkhE92jidtx8Lv0UqDNyyMYTtuEWNGHDc8Nfbg+oKrtOE8NtzGBW89W/Lq9R1/7/QC+1jxwzdvePruE/J78PIX1yQtefSkZvI1LiXMfmR1UnH+7Iz9ruEqBeSrNVoaTlcJE0/Y9Fv2r0e204RtDLsx0hnNOxfH3MSJrtJMQdDrcgKssuRmKEuZcdaQEgw6o7yirg3BJyqr8F6hckDphuDGsnuQPMREZQTT6OiERjcVfYSN33Daruj3xQ8itEKGnrlQ3KjENgt0p9gPCSEjPic0mbt+YmoqFtlwstBc7xwfruYMUSD7kW8vjjm66PjkZs1Hp0d883zO/7rd83kc+NZHZ6jo+OpmS17UvNUYnjQNf7adeHLWct50TJueT+4c759ZXveOYRhp28x7F2dsFfzsxSV//+KC80cKmsQX1zt+9+UbMJoP3z7n/mbP86/ucC7x9OkcERImK87fOiGvIz/4+Wterve8+84JldFQG6Yd7NcT2SmE2IBuKXzf4SCynpUT6rCDGrCmEKesLn+mCK4/LG+nAiVRufjYNBRmViHTsd2XAkcbcoqIel527cSBNpkPHc7kSd4X51quy94BFEedOQjElSqybqkR0ZMmj9A1GIswBfUslC3of4o3Lm3XKNsUVUGKBZxiDwvocSSPPcKqw9QskLMEK8nGkIYeIRLYhpx8+bvLZAzISBYRRgFGgFXEsUeIBvAFIiNiuTiJDqQhqYRUjmw0ZMPFxZLh9oHBFQjK8axGekdMkr1UTFOk3w4s2g4jwahcImKVZNr1uCHT1IrZrGMTIoP3VLFidCNCw+oQ3PFK0QhDArROyKyYcKSsUF6UwqrR6Ajj6LBWkfLIZhJFeO8yjQChFX5MBB9ZzBu0yGxdBK0IyjDst1TVjNu15wfDc3bnj3myaviN997hT58/h7xHWXA+gpDc9QKtEkIUOIsWjikHlK3oPSiv8SkzmUSeMp6IGwXDNJJ9ue2RaLJQ/OzFLU8XFn8C7zbHqCjoU6Tc2zuGrWdpam7HETH8ncj73/rIucCvFh2WjM+BkBJelkaMUhrvHTpEkpEYRCGczQ1ZwqwRPHp6TDfPjLtIFJCSY9YpjmXFdhsZJ48QmRQcUVkapUhDpKoUzrmDRDhiKsWwc8iUixg4ZXz0hPXA1AeaLqNtQyaV4qM1iL7HmZosBdpHfEyIHFFK08ZIPCS/svDcOc+5XdBKxeQdIzC6Hq1qGlnOQXmKdFZRWwljJtcdEDCNIoWIXSdylamsQRnL6D3jNNHUkERESUUcAraV0Bf3ocieCkuN4qiqaU+X7HYTlXBQCS5OTtj0I+NuwqiAFJlPr7bMZxajEwYYxwwy8OV6jZYa5x3HVcNqZZFJcMOA6/ck0yESzGYNLgb+7KtLRin56MRyPwZcSuRJUFeKV/s9Ws858vDR6YJXDxMP2w11pckhciRq9NJwN7gS6faBXYb+YWRWG95TGmEi9aRYdA1aCq73O0IcMFiy16z3I7qqmbWGPkJVt6RcJqj7uz1RGtrGcHu5QVnF8vEcRWZ71bPZ7vn6s7f5zacrvnayxOXE7RR4+XrD5XpNd7JCzwTeH+LeosJkD1pxcXTOf/u9X+F/+D9/yugCx0c1SRiUylhrcesJLTS4EveTIiGlPuyEmQO+XiMzBAIIh4+ORs74ZQqtMMV1Ud0cCj3BvzHjSOEvSYwAJkkkEFSEFNBAEgGoD/60ACkhkzmAQMomQolCSqAq+2sSqqTLM0pIoifFiJQNiXI9IASkjHgCJukCJzkM+BKJKCJ4h2IofVVfI61FZYn+ZeSTw1TOFq1ClANKNmivmWRd3p9MpEPBp2RE0h5IJhBVKEXewWEnU8Uvz9APPrKdPD46tqNjbhObSeJxGBwIxbItyiMzDHz09BRjDMJDDKlA+1pDlRqeXGjOjmbM26JKnyvLzX3P3glijvh95m4cQQpUisx0KbpFFsyk4s12zX4c6KoOk8tGhzUtnz2/orEdMUcYJj44nROk4dnpMRdHS8bQUwO9C6yvv6BpF7z39bf4vR98zu/98c/47V/7e/zu9/8Vq5llc7tmnwJvv/OU9772NV78yY7deE+KguspoYUnaI9MiXFI6MqyXo+kCJt+xEnHm9Gx1B2QydOGUFWs+z2BmmfzFmkE+13P0axGisyQJt7ce+aN4fn1lmW1/FtWwIVMmEYeHkamaLi8XnN6veSjD45Zhz0PLmNESyMt9SOLXDQ0YWTjEjdf3dEkyc115L0Lh5Vwd5uYLwwxTLip4unpjJud5GG35lgbNmGiMQ1WBlZ7z9cvjgi14bzW3Dw4dPDsYiIMEaEztYr0N3tmcwN9w0LXPFqCtTXH1vDJOrFNgfX1A6en59RZcDWNtF4wMxqFpM6iKKt2gfsgqJIgZsmUKl7e3vKtp5q3rSVcnJOE5Xd+5V3+8O6OiKKq4dFbx2RRI01NvRj42af3HK2WNGdHvDufcSdGPvnpFdf+NWePT+m0Z66LlPL1/hU6ZcZsaIVliD2vo+X9I8vzh56cFZWMaFVxvR9ACoRWaKNQwWNVjVYeYxp8V0TI0xgRKZCcJ/oywbF1hevvcTFjTc39dqIVnsW85nrtOY4ZUwlkLvEInztufUSHhDaSJgQGackpcaRrbvOepRHMRCK4QGMVOxe4HXasThaEIXN/v+FiUfP7lyO8uibIyLvnJ/xHRqKz5stXI7v7DX///VO2ZH50dcc3ZjXLRce/fHlNGnuOrKEzhue2KB6ena8wtuFPHq5oOsOvvr3kUW357OGeP7p+4A8++ZKjecVnX6x59eaeZq4QKWC05n7T8+uPHvMPP/yQP796w/9yec3RSUMYM21VIBvej7x6uEOYGezuoStL1UhVIpMMwMF35jOMhVSFrpARUoqleEumFHdjf8i3p7/0oomDmwQZy1JG8ggZEXlAiIo0DmAUomnJUyENZjGUyZlQUKmDCiAf9sYS5JoUBVk4kC1CBRh3iLoiC1smhCIAGZET2YM4CFZRDpUVyTegAzkNoDSi68DUhUiXJoTWB2VAjzgQtgS66BVEJtuAIIK2CO9ATggsDBmhO4TbgVLkJMjGlo+Anhzq8tJMg3ARQcIL0Nny6Kjiajew6ipSrLnd7GiNQAwjY5bYoWc1s1hdkXLApYi0mlGVJGqePJW2LLNmyolVpclKsU6RFBKrJBA5YzUoNNMYqIwid8AUsBSUdCUjU2XxRCoUWUpiCGSpOe4aBj8SasPgIuPg0SJQ2TneD7gkqHTFbhwRWrGeEtv9c947O+G7b79LlQR/dvWKPo5IrQmhxNOUVNwHh0Iw7jYMtiX3ASUiSQls0tzvJ6poiEoSVCh7GzJhXcJUFbthZHAesUvcj4Hz2YxkDJPI7BE4ITBBsJMOKzXir5cO+bvj3ziEEBw/niM0ROfQTUvSoIcBoSWT8zTGoCvDZj2Vnx0V2e96OmM5e3ZOmpUGTxo93iWMCGRTzjlS18QQWRjJzpXiMNsSv97dbanrhrB3zOc1bpzIPpK1ZRIDIiua2hAjaC3JU2Af91ghUKJFRIExdWk0hMQYIstFhaMlRQc54LCo6PEpMO0d0mZ+9ekFP3nzhsn5As1pMtk55tHwjbee8nzclN04o7ExE4LHD8WbaCRMLjOGkflcMOxGhA9UleZhN5JGx6Jp6ONIlpbKQFAts7ZCGsmb3YYmG24vHe9/7YjJwbTx7HYenyO1VWRl6ae+7IG3lj4nYkhlbXlM5Jg5OpljZGYlNU4pjrvIpXPcucCjQ6deIAky8YvXl7w9f5taaqrgqVGokFl0imHscVbw2HU8mmumqNFeYqxgiIGT3PLekeHLnWaz3mEqhY8Gi6K2nm9UK/75Dz/l2fyI2XnFdkoMBEyEl6/uMDPB0fkcM0Zu7/Y0xwYrah7uBnAC0wTqZcXa9ygFxLL7aDuBQfPdt4755smS08byYt3z1abn6n5LThk/jMi2IY0TIRlEHBicp+sqlIH/+Y9e8YefvyEJT78rMJW6U2gtCFGDEEg0UgQkh501kUiy7GmVoGNCZkrTTkIig/KAJmEOgK8MMh/2zkqVJHOBNycykoTMRReDSOXfIhVYD44g7WFvzBa0P2X6VwqoX04KLSlHlFH4ECAWdYGUEhk0XkhkTBid8TlhjCWlDRGDyRqpIMWRJAZijCQlkRXIpMtjyYCJdXk/SSGlIYnEJANRJZSUhwjlYbctClAGnwrkBSRRmqIlyD1KULx0SZXfP8IhPlmo1tM0QhIcGUtvBWMaqZViGDOrtsPnniFGlIyskuXpvONy80A918xFRWc1TV1ztug4X3Y0WnJcNwxGMkTBd1Yz/HhKSJneeSploX9gnyVr5xl8wPmISZExR6wsTYjK1lgDq67hYZi4395ileboeEWKEbzmRIJNgaaaoWRk1gg+f/EVT9o7Ts7f4j/+3m/zRz/6Af/i+3/MWS35+Vd3fPPdd7l72DPsP+WDb7zPB8fH/MSN3N+vkdEzTJGAgdExbxu2uw1a6IPPMkCQqGi47QeScMy1weeM1Q2VUtyPhZWxMBXzugbgehyJRJa6Q4pI1I6/LlvybwSFUi0Wufreb6NFZNFo7q93jAK6VvPsrVPOnp3hNz3HywWbVpKHiaO25auXD/QPOxBFnbje7PnW155yNyWm3Y5V1/HvvTUnec2b9Y43u4nj5Yyqtqxa+M8//pg/+/IFn75+4PH8iPNHLT+73fJ6c8tKNNw5SNPEvDVYY9m5iYX2fPDoKfN5y6f7gZubngs1cTNGnhnDo1lD02q01PzRq3u00Dxa1AiVMK4liUCIkR9++Yo/ebXl4sLw3eURj955ws9ebfnf//TP8X2Pk4LN7QMfffgWt5s9T94/Qw579uvI5WaHDwZbZzyeOI48Xa54993HHLcVP/7iimna8+33H7NPmp9/eceHF0c8hDWvNh6TMsP9SLvQTEEipaExGVlLttuRaSz6AjUTdE0DCap5RfaeKcO4CyyrCpInmMTeZaZpKD90lWYpJbebAe8jRiuWTc3i/IhuyBxVimfWsrWZECaUS0hrqaxkP0SyChxnzXry6GpOP02EPCCNRYmGt+aJfpS46DibzZnPOggj86rmudvz4vUblvUxH58dkxvHXzwEdvuBLy57tv2ajy9O2ciJkDQra2gtfHXfs7654a2LY0xr+OnLNb/15JRvP3vCvMosrOGnV1v+jxeXfH51w1IZONbstnvuL3f4KJi1He997QjhPXEXeXHTk7PjrWfHzLo5+/6O7TCx84b7l2uIifUnLyDuELohKwfJAr7Yr12Griu7cNupdNfQUM0h7A4Y5amcyNWMv8qDDIcLVVcw+1IXwMk0gV6VyViOIKbyPEIfrmCHnqQxBQaicunqaQNMZOkQUQFVmZCFUrygK3JwiOChNpCr8h76fRGIC0VWpVGJdqQgkFKS03Tg8h9D3JUcdYYsyveISpH7HYIGmgRTKq9JyBL5FKJEUKsKkkQqRQqu7PwFhxC26AKkIycLfl9aovJwMY+JX/9H3+PZyuKV4M14QLSPpbmjWoUKB/hmDAgsnVHElLCdQYfEOPZFOG8lWlpigMpYfAooMVDnin4YiUpQCcN8WRNQLGoL48TWezpdMaskm2FPbSqiNGTvSwdXRKKsMAGWlWATA9M00c7mkBxJaEYfqYRhVI4qCHwKCBSDiAUQoDJvzWd888kZ54s5X+4mfvDFS766vmUrNHMtyTkwxYitGtIw0LQzdFYI5XFZEMeIFBGZMoMsvj5pJFIZrCi7eYMfSNGTpYSs+O675yy6ltvRMass0e3ZRIUSgq6q+O//y3/ydxTKf4tjfnGSP/hP/xHTFJgGiG7k6GIBVU1jMroTpHUmTpHb3UBjSsohiUDTGKYxo3JEi0z97JjpzQOb/UR2Zd8y5YCxgvV+ZLeOaAuLeUtXaZLPZbcnZoyJiK5ARWZWs+0nlMqImAlKEX1GKairBmUlYfRsh57a1PhpQmeLloEYYPIRTEIog9SaSip2wcEYWVQlfr3d9ZzXFV4ptoOg1gbTJTYuMPgRow6erRxJWqFcJGpN7xPTdsdiMSMR8S6jpGC/CRgduL3acvbWGW1Xsb9ZM1vMGXCsX++QtSROmflxx82rG/7Bb32L7eCIbuRkMad3kod+TYwJPTOEPuJ94vRoyaJW9HHi7m6grWo8iVoldFJonTHasosjO5eYCY1LgSFAGgNCRNKQ+K0Pzll1FXFMKGuYnGMQkbvecVpVtMLy3skJY5345NUtixpmdUtTtTxbKIw03PqJ682e/RiYfKJRAlFrPrvb8PyrDadzw7sXLf/XT79iv57we8F6v8EuOxbziu3lRNaCZmXZrwf63Zac4Pz8mGHw9EPPoqp4/PaS0+MT/vH7T+majl/c3PGjl9d8ur7l88+vyUIBmW5hqGczNuuJRcz8V//Jd/kvvveE/+6f/4jf+/lr7rc9amaJHuJmom4NSUv0ri9Fm3RlKiVtIUJSceh6Fn+p1MhkCXKDTB2kSJJ7SBVg0cqWdQBGMGU/V2YLZKSIpBDKNFkkPAGZNUlodFYEhsP1y0DOyNAguHSCAAAgAElEQVSXXTVVkQ6sSB0zKYNUhpQySSW8yCihIIYSdcSQRIS4RtORKC5N4zRSKiZR7sXNLwOcWZKEI8mS5FDCQnBEJVHpUIxRoyKF4qwkXlpiEJgIRma87jFBA2XaEyjNkGQk8XBJlUmRZCYqB3FCpaoAWJLkv/7Hv82Hj1YYo5Exc3K8KmOfqec2CfbjRKcsJjmmrLioZ3w1DYTR0VWJ26E0+UdruLrdlClV1uz7nugnFkYjlCQLyaKqmNeCpptxP/SoINi6gNLQSsVsNufy4Q7nHKpq8N5jkLx9esRCVtimwhrF0lgsiuVC83K343aM3N7ecVIrZrMjvvONp9xsRmYVrLdbZmh+/5M3uGngyVHLq13ma4+XPGtrHl+0oFe8/vKWH375mi9v7xmZUFJSWcuqXbLdr2mM5flmw0LVfOPihKt+zWYUbKYdi7rjar2GkOg6S60NU8xkPAo4PTrBasF688CY4HK345/9j/+M559/+beDQonIWCxZTPS7wGw5L+4mPzEMA6SRKTom5/B+YlhHZs8kj56t8Gc1g/fc3G1Y+Mh81bJ/CBhTcX+75svrBRePa6p+x7xtIY6801nu9p5/8Re/4FwJTKdodeQIycdHLXf9HY0xfDAzPPSKqDLb/Z7WZR4/u+DpySlTdDxKExsZSDIyE5GuOeZ0XqOHLb5VLK1kPTl+dDfyga1IydOgGNLI3kmetoomGN5ME6fjxJ9fveHmds3oHVZVVFLx/PKek1XLO3XDMBP84s0rbjeJb3xcc9Id8/ndNZvnkdmq5gc/ueTxI8WiaxmHzODh/FHHj1/u2cRAFcDmSL8baU2NrS3DvaOtMjFG4j6hc0uYDfhUMW33iCxYzC3OTUgpSHuPMRmjA30GmzWdFYyuRyJRU8DLTNu1hGGgqw37lElXd6hjy6t1wiyPuag6ohbEXIoMOSpqI0jAMEEymqADYZowSvEQMqvsGbKmbSXaW/roydsds67mi+0DMwTHq1NupoGfre/5jpkxV5nP+zXny5YPjpbsokcpw+NlhRoTN7c9rwfH0fkJu33i9asHulby7GzO6aLGVJrN0PMntzf0KTJvWtozy3rco4TG1g157Qh7R99nLhrL53f3TCny5KhDa8v9Zk+/dkXc3XgqlVktOtauRCSzjyX+KP2hMPHQWJg2oAoqGKlKFDAfEPkulEijNCUiiS/ustCQ5wLRF98KVYkdYm2ZrEYPvi+FkDZgIoSEaCx5X8hYqIOdWwvIuYBAsj5ELyNMxd1Y3G8JqTVZCZjGg4RU/JUGwGZE0uRKgjcIo8nbHawW5euGsQjDrSxxEpXJtnwOorYwxjKVVKWTSJwAVT4HTHkfsbjpRDZkn0FqssjktEfGDpqKrEWBqURJTgmRA8pOKNPxME00KWG6likIhMzUSqIieO/oTMU49WgakhQYLFpETNXiVYXNnspIttGx7jccG0s360gJdrEsiLeVKJhyArsx0PjArKrpU8S5RFs1JJUYB09jNYSJfRTMD0PZaBWzLDFVQVAPqbiJukqTXaRThikHaq2IUnMkJNvtwG6ABz3x/3z+Fb/5zmMeLeb8B19/nz+sav70q5f0uaJSkspIsg+0jcGJhJSRLBTBDShdYbVECIGQ8NDvyf1IU1fcBUHvHbXRzG3NzXqPqAXf/+wN33n3nMYY+tFzUrVMytEKhVV/vXjI3x1/daQMKQiGpFnMJLu15+56y+mFJDUGPwncuKetLU2ukT5SKc0YMtN2omoa+injtMBKh9KSRWfZxAGtIi4JfCh49G6hUJUqe0YpUx+VXWaTFBKFd4JKFs+hihFVVTgyIZd4rnEDVluiL53kyjaYQ3hNqkzvgeSobEWUCRcTSglSSFgf0RJGX9aJIpIJRatrZBtYLOe8fLgjp0ijDPvesWgrspTkJNnFRBoLUOTZ6REBydV2DzHgXObq6oGLi2Nmi0VJ302OumlIRLIvkUvnHClFKiuobFMAXrbjbDFnP8Ju3HF6NGccHcELpMhEFbm52bN8NMdKQ8qeqBI6BHZ7gcoD3dyytJaWmmUTuLzbgdY8XXSsHml+8uYW7/d8//kVX7845dnJAhU1RimOuoxUmegE6xj59G7Nx086ZrOK2+0WGUArw+drx2/9yimfv7hk8IUsm5EMFCDKRaPZH1uu7vdUV5LVsmPycH93TwJMFjQoep04Ou0AiWgUwVtCCPT9hLWWCsvJSctvv/027x/Psbrh+e09n11veTNu6V1kfjZjWAdiKgj8qjHMZELuHI8aDZPicpq4ultjmpbkPHVdMaws094x71pCLwqgiwOlGVnijAmQsvjefomdTLHspYkJKStgftDaOAIJfdjrCjEdirPyrUFQrrFRluiaBIRCRxAyI0WZ8ZFBR4OgI0pPip6kNOSJRA0ilLimlKScUbnA6CQancRBbSNJsiNRkwhUuSJJD0RMdqBqwJIIIAQpSjSWSCbGRHWIcoLFH4KOSpXPJQImhGIZUOX/qqgJQqJzKaSlzJBHfJRFIxQzENGHU3JEoZM9REoDy1nDm93A+cmcVXvMq37gtFHE1PKwvUIKBVZTt3Om3R037Pn8+g3GGO4ve97cb5lCZhwn+ihY+4NYPZbJqZy19AHIicu0Q4iMNLdM0dLmqSRZwkSlLZ3asA+RYRowuueibXn7ySnvLY9JCvzkaCtL3+/oleXhXvDyZs2QHOcnpyxsYvCeH//0M+5DYDfskVJxujjlo2dnfPbins83PZ0W/MmffwkfXdBcNch2w/Gp4etTQ5KRv3h1SW0gBY9WgWVTSu5zW/HxO495ejpnfm15vr4nOUUMO4SQOCl42A1crCqmPHK/3qKrDsctQhgetx2925dzefzrkZr/ZhRwGbIf0JUiikjWkpXSjHtFXbXgBHFMvHJbOgH79ZqvyKj5QNpPqHlLVg276w2XX26plg37nDg6s7TzhEqSayeZUmDTD/QxseqWrOQcPVdsributeAowDuLJdtVZNffsAuex7MFWin+wmmGactNn5Cv3kBt2PtElpHdACIIUppISfEqS6aHkZQFZ7qG9cSYFYOObIeRTfCoyrKyNeOUqVFUsuLy9T3JZWKE0U8YmUnbHR+cLfjVZ+f87osv2G32GGHBKJ6eL5h3ide25u5mgzfw4tWOd59amvmcr663jFry8dtLXAxk1fLYKp5PE1ZJzh8d0+9uyVoSBOTRo+sJEzR1hsFqrFJkJYl9LP6VWY1Mgf004DB4IjkNtCrifcY5hdeSWaOxuUFaQZsCLtRkNHaREZWi3w8MhELsyxJtPEiFGDIDUCVFv+1RqoJGcJIScYy4oJg3Has246cd6zzBGLFa4COc2o7oHDebPf+39zxaznl2NEclycM+88X9lm+fPUIDV9OOJC0frSqqVvPDq9ecNB2//mzJsdFUOuMy/G+fXfPDV/dkl2iXBmM1Z6nlWu5RSqJbw4fnc37tgxNevt6yI3JyossN1JRAKvY+oFCMGw/CcLGY8XOZILeF7CgN2e+htlAvwI8QpjKV0wHqCpw57Mb1pXXmfZFpWwVRFVcTDuEnsAtQFUxriuxUl4JrypAPzjRrYO/IRiGGoRRJLpXCUOTiiwsCoS1Ql+LOBWgE9KE8r6zJWYA8QFRyInt/kHYfOqSiRFzIsUQ6rIUUYQSYSoGILU45mYveYBjL41YVwilQE2SPMIY8hlLMeU8WqcRFw5asWqgPZMwEIluydCQ3HRbBJeDLlJGOiOWnN1ds+8S8MiiZMZWijxE7RjpblalFTtRNy34MdHVblBq1whhQztPVBqsUwUSsLkSz3k0sKsvRrGNwjpSHgmdHU2eLlLHs8ogClHEpEIZIELDeDXSmYlFn+pCpRMYlic8TWiisqZimnm0IKDLaGlZCcolnjJrBBwwRaTQ5jTwcqLp/+PIN7x2PPFvN+c7TM/78+gEZPDkEhBDM6prRB4Y4Yk1FShkjCuwhBEGwiuhgpRr6xqJyJBtLlUaIE/dDKiuJIbBB8oPnr/jo9JR3z0/KzWw2NG3Nehz+nVxm/jYfMSZ8ikgficZStZbN6zv2rWFp5gyDY97O2LiJRMTWBlMHpusRkTOhyfRjj1QSxkI07HuHVgptM/kAMxjGgK6KWHmSmVZWhBiJLlHlSBYaQyRoTfAeqWoEAi0SfswYbZAxMowOXRc3ZXITumtRDmKWmDqSoqGZL9jtBrIfSX5i8plYlpmgkeRYfj9Gn4gqMJ9VXO7XuOAwVpFdRuvMehiLGlMppuB4uJyotIaT4mVUWRODo98HmrZi/7Chm3fkAEEYmpnh1VdXKC1pZroEAqbiZazPKmpRobQuZE4JShvWY8Rmg9ae+/XAqmvZzw1f3Nwz6xraTjK4SAqO0/kRPhTH6UZ6jqzla63hRltUpfBuZNku+M7FET/4wpNz4Gev72mN4th2VCqymxTfWCy49oGHzYRuMi/7PR8eNbxII5s97O/vOV10fP/Hb9C1AaGJIpIIjGPg6UIh2xn9QSf66dWWj08W3JkJOes4koHhfs/LjefpWx2zSvL65ZpoLaapEW5imIo0/mg147c+fJsPTlccNYb77cBfXN3yi6ue3BgGMf5/7L1JrG5rft71e7vVfs3uzj7tPbevW40du+xyOQ6Oy3EsJYQkIhMYRkxhiMSEMWKQGQgYQiQkFAkJEBJYYEc4KjkOKtvV3lvNbc893T67+9q11tszeL8qe4Y9ii15Tc7eW/t837f1NWs9///z/B66tiZpjbvx0EpImaO6ou4aVM78N7//AT/85Jq2b4jRM20cAlguF1SzmpO24rPD5kJLDqTlQCUkKQ3FNEJCygowxYWRC6jKCQU4JAEtNIlUNmRSktJ0EHryELwEmSpQEIRH//TaWUpiGkBVJK2oQjxs2fgZel+KASma0jfHdICY9KVWIOtSF5AECkGMDgRUqoEITpb+Uih5VBR4HCqVitWkRrxqkLnk41KOhdqctkjqg40zEVOBvCACUmpkChg8PgcM7aGgvAi1dBi6IstGTqlSW2BpIEmMaiCVQXpSMCbH9WbHatzx4N6ep6/2PFgs0CpzOexoKfC1vdnyydWGl5uBm92ATx5rPTJr4oFKm7JCiEyvEsloFGXYO0cwRYETkkZrxhyRJMYAWUYqYxBSsgsRn0NpSZCCk3nNvNEEItEG3jxeomq4SRPfXd3SBE1SiXszjTGJj2/XtBGmaLh1ezZuT2MqZLzmdPYWX3rrPj95dsHHTz/mwfEx3/nwM778d+6xudlxtdPcPV0ym8/53pOnuABN03DiLInEPsCyb5nNNM9WK6QS4AXztubpLtMbSU6eCcXNNLKoKkTXczUOPLWZk2qG71rqLGjrnj/viPMvhYBTStKdzkiTxaMwytAuGlabNSFkfA3byzXLu+cMLjDrG5pWM673uEnjhg3rzUiuMrfrgYf3NHoL0z7S9tClieVxy8tXtzRNw85Glr1Gs+fJOqLIXNvMcHWLjSNORc5nJ4QgUE3Nq9UKnTPzoyU3lxesqxlaCNp5YKZrnvnIXdMgUXyy8+y0QkZPUg0Dlqa3ZKDNhq1JrLYjOwcndQV54Hob+W//nz/gycUrHIocPVI3OKnoKkmrFZ9fb9lVitn9e9jbPeuLEfGWoLMzTu/OmKYJvd+zHRMXr1b0VcvOBwaleO+1GevrHbPa4OsakxN779G1IKhI8CMqaTCKvU3gJnxlqLsGXWlMDgQjkPvEWZe4spHJAnVC58xmL8giorREVQoRLNZLpKRMn6RBVKZYzNrIRu5xUrI0DdEGlEpsbS7wk1xRVdA3inEw1DnjxjKpPG0ahmC43Y2sTOax6ajqxPWrFQ/OTnHeMbqBo9mCnfE822y43yXuioYtgatoqduKRfL8+OlEaBy//vg+R3XDB89e8SvvPODRccN52/L4aIGNlstt4rufP8eKyH49YfcTVQqc3L2DmhLGZxYnDb/+lUf8p3/rPf7Bf/1/0R+3PHx0xPWrHfvNlscPj7j6PKJ7CHtHigpj9CHzti95LiHJuQUEpFRKp+vFAQwTyHsQ1XDw8gvggNb3peE654KmB1+olp0At4eowDTldrIrX4sKgQS7hfoIIQreOwMixRIMyAqcK6IuiHK7yUHblhOAroFI9g7BQNYtwrTFEpoXJZdnYqkp8BnGQ/m4PJyEvC+PV3eIJkIAoQ0pjojYlAyCDmR0EW8iAIqUAsKIQulsCykz0yKiAzGA68k5IJIGGUqJuanJcQTVkqNAxgAqkFTGiJq59aSQUbVg2I7IkAgnkj17tO7YK+iD4HRes00ZUSUUAhsE0Q3I9hQhYd42kAPX25EYwKlAW3sUNcH17MfITIHsIAWFloYmZlLMiCyIIjPaUC6+awl9Q70eUVphYiSLwBgjSQSmYaLtO8YoaR1sVSJ4TXCOfVUhpkSjNBHBemtRIlLVgh+9umE1jLxx7y5/8+Ep335+xW5n0U0pV9dCUg+JYbTkRrPde+ZBInVGTgCZvXfluTOGWd8yikzrHbdBIxi53XvaRmOnxIf5ligMy6XkpO3YDyPNXy/g/sJHBvarHULXbNcbKqE5Ppvx6MEDQj0y7gf2o2Cylloqhv1ApTumEFh0GustyXravgZviUliY+kgrFpFzqW02BhBjAFjJDlGhDnMi5wm1ZKYI21nGG53aOpCBSSjJcwqicuCHDUiRnRKBJcAwWBLl6WSseRZVWI77tFaUEtFJSQuW6L16L7Gx4wQmloKTAVJRdbbPbvgqdsaozOq0zST4HrjGFzEaEscE7pSZBW5tRM5ZmpT+sOmvaOad2Q7knyAWcOUPdvNhK46RM5Mg0fJlv6OQcmEHAK3+x3znNi5hGoVMXgEkttd2YB3i57NfuLhw5arlNnv4Giu0G3N5BLWWRpds7IjUcDoRpxo+PK9Gc9WE7uUeX898lZnwGR6odgMkW8/ueJrr2UenMyR3iLjkod9jUugU0bnimnMPDg7ZnDX3LpEs7YEMyF2mloLnBK8miyLpuLlZuSdszNOH3Voo7HAk+sN0VmkyqjKMEmHjImYC5QBLRHx4LKIAV0raqP4+hvnfOG057jRLGTgX13e8MHlLVf7HdrXSCSjC0il6M8FecrEwfIrv/iYSMe/fnbD7/3JjxmrhB9Ld1t71CMlJO+o255Sz1bskYGETgWyQU5I2UK2gC8DQiFIWSKjJsjyOlWpQL4SDqMacgoknZAionPZy5VMmwQ0Cg0xlciGMmV4KiHFgFallw2xLwRYXROxmNQA6hCp+2k2ThJCAiWQwpFk6b6Vqgw3Ag4p089+P8Tp8CZPKFE2hXgJonTJeQKKCS2q0k9HiT+YWLZ+noCRHSkeSJ3UyNygCHgctSwVBuFQGyRljYkKHSJIX2BaokRpiL4sN4nIlPjXH7+kSg7TtHz7xQ29EuzHSNNKNusdb57e5aiTYGb0C0WzXuGcQCCpUfjomCJIpdAy0zDRUOGlQItybbGctxwLSj9gEDQobsOWLD0+GmTQaOWRWRF9ZF4Zdj7wbLWhMYpE4qxteDLccn0V+PDVNZ9er/nlx4+RwvPB1ZbN9gKRMu8+fIyaJbYvB4SpWHYd68ny7U8+5OffvM9Xv/Lz4B0/evqSs0XHH/7wY/7er/wi3//kBc+3jmWreO/0Dp+ud2ipudiMmErQ6p6LybH96DnkyDCU1/7rfcdGl23o/HTBfpxIMdJWDVknqmCINrBLicvNnkVX82CuStXQn+P4yyHgtOLsfMbVZSTeOHKteXmx5WjZEmNgs/ZErVi8fge2W/aTYBocXs+wYYsm0+eINRbTL2llg2ompG558+w+z9ZX6BSw2y07q3ntfMapKSHumB2PK82UE3Ut+GxwNFXN3LTMhMDut4gcedwKdCO4uYF2iixnGWfrQsVzGRcDU7XhNs/Ie8+dVuNDZBUHFqZipjR7c4Tdgg23rNYW2xmOO8PzmPnw6U3B69eSul6SB8d8XvNg1mGbhm9db5ikReFQjeL26pqPX6yYtz0mWc4XHXsEaTtyfKRo5jXzPCcnz/sfvMBnT9X1eKE4Xp7y6mrLahNwPhEdLJRDqDK10ypQeU9SFS5bRDR450gHUalNJk0e5RwRRZUTPgqoEkIqEgoVBD45UtBURtFXjp2XGDxnTQda4lJiVmtQhigCwzjRV3OqOqMTtFiCitxdHLHbWzZeYN0eKzNHRx0XylP7iocPzwgT1FXD6Pdc7zyNCjwUik9vXnE6P2JW1/zCnSXXKfDx0xs+vBp57/4pexF5erlhZQNfv3/Mlx6ccdb1rOzE58+u+cPPBxSZXioGmagbTZdgfmI4My2Pjyse3j/hb792j9u95CqOPLg7I+RAEJmTmWFvHbvR0ekaIxKm1QfkcU0OHmkkSfQws+U1EIcygZEluEzdIaZ1KbkWqpR0ilLXQJMRskdITw77kg+TspR4q1Cmln4HVXMQUwkwZcuWDvm4mEoBNhLqCgZ7sJ7UJdCtMoQNVC3CjuSmKxdhwSLyCAKEUODLloxqKiXe+QBYUarYNUUk+w5BhrQvm8YgymPyAznWiKomO18gKDIUG2lf7JdMB/GWDnZKGUAWW1dOGrQgZ48QupzUgwYKapqsD5CVTFYKpMB6UDlRdQqVNCnCcSuojWTMgUa3uJDpVKapGiol2QeHkZJaS0yW2NyzsxMVBusTM62omgJVSFWNELCfBoiJxihiEkTv8VowjBGpMo1QhTidFU0vaeoGlcGtLLLWjD4z5om2UihVsR8m+r5jTAJTCXolkdqQfcApSR89i0YxpYzPDcd9YHAw2UijJR+uB27CS37z4R1Scnz7SaKpKvbjSFsbnCnbyBgks6pFVhLhIqhIsCNJGc5mPUYpno0DNgVMjsQM1mYedA1jDOxz5sV2ZOee8/p+Qf9mhwdmqH9bp5q/sodAMFss2Q+O6cayeKPl7OyU5kxy+cQjo+L2Zk+IE5uUOT9bYodY8PseKllWBi4GlMrsRkfdVmQ8IWVqpTBNzW47IUmYRuAcjH4iTRZtDFUNLmuG5Mhkmt4wjQOTTwWCO3mUrgg5YiTgUtl8CI23EySYtYbtNFFJgRYgjMASEVGwqGtEY2jmM642I5mC16/6OWYueXWxoaoNWzsxXo9oWSGlwMjEZj8i+4aqV+Q04afI6saiQ6Y/gmgki5OG9U2gnnUYVVD9hMC4s0gypEyKmpN7FSF4xrVFKcnseIZ3AWUkwVoiETeBz4lZVdNVEhscp0KjT2Z89HzLxU3i6GSJEA376JFRo3tJcAONUqztRMWMk14ilMTlxHqyfPHOCVebLU0UeOv50fMb5sYwXyxAN6RkeftkydPbLRs3cnd2TNsZjk9mdGPg49stb8+OsH5knyXHTcusmfFsPWBRvP/8hl94cIcvPzpBRslHOfPt91/RdRWeRDWXHDcdl89W5Lpm1muytwybgb7tkS2cn875tcd3Oa9aolZspsiPb1fcjBOiMYzxQC6lFEgnW3pBTav56oO7NCT+q9/7LlfDRO0VVWPIGiqjabpC3lxIUaAkB/FWwP9FcAUkUswIQhcxl0GTSWSENCQsSkhqCTFqQrLIA3MyJFfAH5mCopTVoeNaooRA5bo4V0QmqHBgkiZyCCTdEQBNhc4KnesyTM0JkimvIVEolVIZSjOaAwqxVwtB0hMJC+mnfW8SCIVYnks1RuIQY5CGOqmfVRIkSq+bpONPLaWgclWozqpCx1he16IIXSMkMkoSAgREBDEJajFAlgR/cPUcahOSyEhDiUYgGWwmaoXdjkxJ0s87PrtcM281dVAs7kfunnR8cLGmc3vOjzoma3m5djgyY4xUQlDLmiEGqrrk3eqYcN4xdAomz1xDVIroAhtnOTaGG2tQMdFIyc5bfIBlrwkxYWrB8ymgL29pdcv1/pbb/cR2CGyjK92m3vPJ7SXPXm3p647eaMgTT29HrnaRJDyb0ZWalc2ej6+u+dX3tnzxzQekBD/87Cm1hn/5rR/ylTcec3l7zU3KfOO9Nzh7ds0PLl6U5y8JUhxRWbPaWKL33F0sSMDl5LhzNuf5qxtMLskSr01ZFDnHou1o6szFdsNnNyP/zvEDGlWh/ipRKKWShHFHTAkxefZiB95xvGzQxy1XlxvGMfLkx5/w6GRO1S14cK+Uy163iu3VLV625HViuN3AWyf0Cc6MZllH9kdz4s0tUdWsxx2nU812srza7/ib94+4e3TMfut4++4pg0zMZY0h8+HqFpkEXvTIYeJIGP7G+RkMgUE5FiRoDT5quiS4GQ1Hy8CUFVergaNlTzMKVEjo45Y6jXSVKk96jmx2idQqlicd3aKnUUumOOImR1LFr9yetVy6LX7QLE/nnJwlLq4n2l3Lze2OQTvutBJzNkde7Olnkv6swtHQNYo8RG5fZfYhM+02LJctXs65f3rGr5zd4fOPnyMzuCjKyUkJqpwYPTTCE2QgmISIAt9ENkOA6BHJo0TFmDxRRBbzBSFlbAokIeikYOMlY9qiVAdVhxgcu9Ez056zkwW3znFrDW8cJY5DzXoamfKOximMrFk2DaOUjNbibJmC7XSmVbDd7pj1HcFbxl2mqWt2WnDUauTWcu2gNQ0X+8CwGnhUK+4cNbiw51lr+I2vHHOqWr7z2SVV1/K1d455re5IY2DKOy5vNvzeR5f88dPnPHxwl42daJLkfNZRn2hWV47j05q//9Y9/r0vfJGrG89/8X98k6NlzWxxSoqRRTWRpeRmE6mE5m7Tcn52jGk67h/N+b+zR9AV22BYFRGSPFlEhA/FamgUDBPUsyJCKg0osCNZySLWki32RBehbstJJB3YxnEqmP0cSqdcmMqmbdpBdVrIVCLBLpRtm5YHauVY7B1SFj9HyIjgyFVVsm5VhFyRg0b0NaBLtUEKkLZkXSNUcyj65rD9qxHSgahAVmRtEGFTHrtWIAMi6j8tJo/1ofdO/IxuSZc3CCkAACAASURBVJQgLVm1B9EoERVkVyaf0hiyF9C6kg00Mwiq5P6SQpjqkOUziOQYvKCuMpqIUKVjzSdYVB3CCypTLuqyVqxlKgW4KZdMjxDESrEd9hxpSdcaWlne5y5YXu72bDpNryR7X0iOWkkmLxA5ISpBsAPIBlFLmlzhiNjRU6MR0rPzChOg0oJgE0Y5pJEIpcgCXHCsbUCbhrbRRJfQUjJYi00Brctn3cNZx40NbCaLqRUvb0aeHM95dLRksTjiO89ecDNmYvRsoqPRhlqDQRJtoM6KLaXk/E6/4LxS5K7mxcuRrQ1s8KismGlNFBYfEvOmYYgRlzM/ub7mnfM71K2iNf/2wVl/1Q6jBbLyxM3E6CNN1dKdzXHjRNVAmDSzReTm1jCst7SvaayVVG3LejMiM1R9RUww7iRxP9LNOqpKoYWknwmMhh9cXLPoKoxeYNDkkJAJppDRQ8mJhp2nrnpSdrgDBCGSitUsJ4il3kIqQZIZLR1tznhjGAePFKrkeSrFfmORudi/kZq+W2LtHpdTcbncWZBa2D7fcXR+yvWLC5599JKMQaQty2WPmJdNxjAIZkZQ9z1KR1YbS9NI0mbFYrmgnXd88tEFZ0YwO5mxW++oG0n2Hn3UozwMW8/qeoJaY5Lk3tmSx23Lc7dn1JJxkpz0DTf7NU3b4L3HWsHd7ogfPVtx796cupXYlNmud5wcd+ysZVCZTpYeu6vRUoWau13Hb3/hEdebkR+9WvHkZs+7pqdezvnBdIs0PVvh+Oanr/h3f3HJlCe0tfQ0vL1c8um44ouPlnx+s+Hrr5+zsxO612xuI02/pPKeJiqOjmrIEg2MLvD+5TU/d3fJVx+f8OnFDUmCMYL5cc8dA1oann12RaUEzkuyqGjmDVoKXrtb86UHZ2itGWVG2sifXGy52O0JIpImaEzFeLtncX4ECMLgOD+e8+6jJS7ANz98yXYq1UM5CrxLNFrD4Hnr9dd53NW8f/GSrc1FZOWDvEiQVIXP0OKQGbzokOFQoyNKtYzM5ZdzSiRVI1V94FSCFLIUbKeAFpByVaBMlGgBSZWr4izQSZMQf6bwWyAPWH4okZLEhE4aVCAIV+4jabTIyBgKdIVUQCzRkVSkyj3kmqDLbWjfFPumKqAySYVMjhATWoAUgSA1VkCMilkE5IHGmSVS1EWgHjZdBEvKJa2gqREHUAsEFBopE4GAPtxXEokYJ8i6vGcBj8QQECIxhkiDpNOKwVkaKamS4vx0yRQzf/iTC7bjRMyaer5kcbylrwQf3ezY+owNvvSOukDX1VghcShaVfLrUcCFgyg0pyry+vkRO+u51xn6ecN+2PF8p7m2nvV+REqohaDRgpUN/ODFC8boUdmglEaReOf0jLXbcr0eqAuKmiwi3/zxE4xRxCywwTNdOeZNzQ2Jy9XAyz/+EX/nvcjrj45p54Yffvac1YtX7IaRr33hMUobVIj8rV94E/kTxU9eXVHFBPIwBEsCWTdYIrUAlwRaCt44WvDZekddaxqZuNo5aikxWtMmxa1f40Sp1e1Fxug/nzT7S0Gh1MtFPv2Nr7FxEvaefqE4Oeo4vn/Elx6d8Mom1nvH5YsdTSU4XjZUCF5OgVYlWp3ZWZi2ntXNlm984wv80fc/ZXvp+co7d/nC2QKOFf/T7/yQZaVRLtAvG+7c6bnXdPzGW+/y8faWzc6iG42NAHu21xt+6fwe+qRlN01Mu4FffvAaV+OWPEl2WXCr9+h95tP9jnv9CXcWhsvVDuUFr+yO+53GohCqRiFopOZmfcvn0ROEoK4qXqaJYTfx2UfP6bTBaIWQGi0rdqa8OLK3hGx4+GjO4CBYz243kCdLZWa8/qDh+bMB7y1aax7ePaE1kvXeI5KlOe94cTtxPxn0UmKaip+fL/lfv/eEmCPBJby3YB39+Sk+eoxMtCh2vnSbLRpD1JoxFB+ylYDztKrDuTVCS5TS1FVNInNUZVTdcusKtvrYNCS/Y5dKk/1JN+PspGZ7K/i5Y8NSKDpZc6UtUrfMA4zThAX63rCymUZEwuhwqsJNe05ywtdzQgVG6lKWKAbsPqKzxEvFzXbNYAT3TM39vmN5Z87v/vgJX7l7l9fPznjUKM4qya0LVCh+57PP+NZnT7naWM7P7zCsNgybxP5mg2gEOWX+6W99lf/8H/9dlsc1//z3v81/9wffYb6QpK7jqEl0WnG5i3z+yRWrlWX4/CN+65f+Bu88eshZ33C13vLP/of/DXbbIpjauuD/xaHculIwjUAA3ZDHLXJ+Rg4T5dNIllB0GMr3+mBVxIPJ5JhLNiz1lHFxBO1LKTgK0nSYHCqy1AgSVJStXHDgRbFApmKVK9m40ieHtQf6YwRyEY4/3ehFW/J6+FJDkFIRYfJQMyAlmFJ8LVQBjjBJ0LZk7KI69Lcp0E3ZwAkDCDCSHCeEmRfRqhUCQx5d2fxlWTaTi2Pw12WzFzW5MwgvwB0em7OgJF//R19ns1M0KGZ9KS9umobOCD683WKSJ+dMrStUbZBW0DaZMUkqBY1PNG3NR6s9d09mNC6CgU5ISImrCG0Y8cLQGkMvMjYbvA5IlxljppY1ohKMw8iiqRHRs5EKIy2daRmnkg1NOdFKyZgzjRJFaA6WjEA3LbsU2W/X3Dk54WqYwFlOTjt0qgv1Lyme3+w4qQ1XkyPEyKKuECrz1dcfMm8FT9Y7/ujjFwhRgQgoCWNKGGnIMXFmFKZu0ApaFJbI1kXm9YJTnbkaB7zMvP/0hq7KVFrRVDVegncRqRUnXcOX75/yz/7j//KvKZR/gaO5c5wf/5PfRKeK3X7D/XtzTt66x3g5IWUk5oxdWZ48W6G1YDFvkRrQApUFWcBmNUAStDOJajq8dYgMp/Oe5rgHa/n4oyuEEiijqCuNj5HeHN7PRiOixoqpOE+kRqV4yM4IhJasR4sZYTnv2Yc9LkZiysxaTRYSXMAIiRcS5wNBGISMuNHz+ukJTZtZ7SxVZVBdTWpAJIGcPNvB0Z51fPidJ1xdbZgtWo7uneG2OzKCYdgjUk0za9juB06PZ0Qi43rPyZ2O3sxwRuO9LYAVDKvrDd2sQdWG6Ce2mxG73iOl4eFyxjd++cu8cTrnWy+veLYbSQcYyoNlzb1ZzxADl5PjcrXm3mJOrRUvrtbIqiJJQbKW337ndT7aDzy92pQLbqPwfuC4rvnV+495uGiYZOaHt7f8+NUtIsC7xx1WRD54doOQhnlW/PaXH3DSC0I01G3DN965x3aynMwapuDYBQEp82q/5qOXA5LMq93ENnj6uuLlZFGp5HEuNiMP+hlJZv73737I4mjGHVXzpeWMP7jd8OnFBbtXe2KSzBeGvm1598EJ/+F7D5mpis+3nk82W37vg0/58YevUDKidMXy7oL5UYU0gp9//JB7Ry1vPur49x8/wlvFP//m+/yLf/MBOyORMqGsZQBa1fBrX3zEeox0tSJ4z/OrFTdPb0vWTQpSkpQ6bEtSmijApIqS7bI/sy8mEnXS5CwJIhf7txfltEeE5JCqIUSHlhUpHgJtShFSIa7KLCBGpJCE0gqHQRHxpUT7IPyiLFJHREEWxa5ppaaVPx2gBqh0sU2GBHSgiqArgrQrHXYp4pUlhT2tWhJEjY77Q6VBVfaOB8ZYQB+ybgmkI6HRHlAVowKTIzJaQIPQhFwsfKWiIKBFhcyUXro/Y/vET4eOulgEK5J/9GtfxihJTJn14LljDLNGcu/4lCEMOJe5GgZuRo/IktYI+rbn7nzGNO7YOceyqvj+iwsGG2j7gtPXWXLed1zbgRATqIZGBeZS8trxjHdOlySpWQ0jTW242A9879kNIQZyUKxSRCVwOTLTAp8zCqi1ZK5bfvOLr/Oti5dc3OyYKU3IjsFlpmjxQRCTZaFqdoWowiuZCT6Tcaha8/pswdfP7nC2XPKTn3xO1yVO56ecnB+xrDV1NHztS+8R0poffvgcF+H5elssqEqRELjJc3Y6RyJpdcuig02IhAluLezGV2x3JUMpJdydtTw+u8c7j97gN//Jf8S3v/+jvxoUypzBOYFOUJ12zLoK3WqiNmyERqSJu/M5fVuzs4HVtOPu2THz24HNaouaVwQ0O7dhvbX8mz/5MZtbT5oiw3bixULjnweizazJMHpEVbEZPa0UnHWKz9aZiMDux3LtKuGkXXAZBvpdxtLQnLQ83WypfSSQMK0EL7mREzeTo0pruuqcNoBTmaVQbKxnkhNzG1F1R60D827G213iZYq8vNkyNyW78Nr9E5rFDDlGhAy8XEfmS8X6dk+/6HEh8/LJFussqk3YPdjVQFU5PnY9bZ+ZH99B2jWNT6RacbG65OT0LtIHXus6zjrDazoRdY2NCqkTzkeiTwgjiRTEe1/XoBSCTCUcippYQSsTldG83Ay4wRbLXqWpdI3EYbLD7zN9r1F7TwoKA4joGUZH3WkqnZi8JGrBtA7ETvDpLvLuckldK5JQBCamoLBGUE8jY1I8rg2rodDVfPIoFVk5Se0to8j0yWAahXUCj2LWGq72jnk9Aznx4W7Hx0PgP3n3Ib/1xUfcQXM6y6joybS8/+KGjYt85+KK9eCYzVr2buT62RVJVMS65KeEqRl84PufXfDht17w3//h+ySXEUrAvczN1rGslixnkv2xZSEladeTtmuW1eusB882ywOERJNVQohDls3eQtOB9YXSSFPyaFWNiI6kTMH5+10ZS2pRBBcGjC/TQTlH6FiAJWIsdgwtS7WAr8rPQoTegBcIOYGvC/5TZEAXQXToXiMEED/9eiLXxXsvMJTqAcqmMCZy7hFVVfIJgSICf5rt0wKqusQW1FR+lsoUDlmByYfb64oFNMaStQsTKEmWi2K/zJHsTcnqBVdspqo6/I0ZtmswVZnKul0hWYoatEaEUASynuGlJtUJIxTjztLVGdM1BYogG/Lk8UgaI5gGi0qCu7M5CykZs6cxGiMkdytF5zxKRmI05LomEDiSCZ9rugDRB6a6RubIsp7jlceNlq0bqWKFVhHvHHWrMVGQveHW7QhCEUPCxciibkkhMusVV/tCeI0hsd1ukE2NUg37KdBIQUoCv/VYlTnuWxotuVcJTtqGtu/40YsX3PiIjpIffP6Ut85OeW15xPps4Grw7MaEC4LoJrIIDFEwVy1zIXA24GQghELW7EyiqgJzWTOEwNvnxygBcbJEQDjP3jvqpHlpDyXrf338hQ4lRJlriETykc068FAattOayXrOH5wjhaNeO7aXa9q+5nwxZzXsEalM49tlg91abq88j96WdEc902pi4ybilaftjzCdIcSA0aLgvVMgpVgIhQlcyEXQm0wk4UJkpipCGBGiwmhDZsBOE0pLUFDXGd00aCkZfbEgztqKXdb0MpO1YLlYcLJoudw6Zsbg80hVQRSSaZzo+oY0Tqwvbsk5oJUoBeFxwvqMUhltOoiR6AbstCflGVrX3DvWdEZDq9jtPYmI85am1TS6Io0jwUuqTqOModWSFCLHXcNMC77zdEXfGh4uoKsbPr265WabOO8UQgS883Rdx7TzLE/n6DbgI7SVJ9c9f/TpBYvjJaEy2N1Ik0Hqju1+4NuvbnkxVXz5vOEX7y/YTR7nLM9Hy3Fd8c7JjO9d7LF55F/++Dl/++37PDiZ8atfPOOoO6MOa5KQNDqCS3i5pG8VP/dY83w9ELKi0ZKjribebBhGhzbw2qlBOEEIE//wa+/wwxvPbrPlg5fXvH0653bT4ZuA94E3z0/41Yd3OD/umRnBs3Hkwju++/KKz1+uyjksJXKG1eWWaaV56wt3+A9+8T7L5YJ36jOGV9f8z99/yv/yxx8xkEnJI3RFkgVo0taKq/XEMA3ce3Af3dXs/MjVs0ySiURA50JHDEjIAZUlkulPBY135XMfR8wJqaqD7VChRUQmVaSY1KTsSCSC+DOQE1nOYZpMSJmkSnuPiYmoJrJeFOpijBT0SESlA5wrFaCINBpDIvhSqq2lBVqIumzhRCCJRIgjWrUlFs5AUpIkElK3kCVVDoe8m0JGDhZQTVDiUG0g0BwEIhw2jA6FLNcAIpXqhVj+hqQkNg2YdMigi0SSIKNExiICk/KoLEEcKJiSsiWrFA/nJ6y3E5UIGJnZxQmZE8PoGUaBCIWevQ6Z1RjYbvbkStHrzOQFb955wHayrIc9MWaijLiUOG4NW5sQWpFTZG0TeTMQEjw+6bnZOxYxc783/Egkdl4wui0CSRQScubKFmp0h8Qn6HqJWkr2Tywujoym5/I20CvFeioZ/5OuZe8T19MOnQXxpCFnj3cZmSWfbTbMKsNXVcObD0/56PmKoCy7py94dP+c1zq4uHlJZ3pO2pbKwEhGp0ii4/6iJYrIy/UNs67Cx8SNtbSp4sGdI/R2y+nimP28xvvMfvAoCV944y1kl37qaP3/Pf5SCLgSOpbMW4G1cBtG9nt4veo5e7zgUgR2ecVw45lqQeU0ySfmi4YhR3beQZLoWUc3G7l4skUrSVs1zOuaKsEf/fAVMo6lEyo6QnOM7me83G4Jw8g//aW3+d3PLvjw+S0pOSZR4xV4LbleBx4eWdJNi5hn1smhVU0dNXK3p6tqHtaJWmfqcUtlFM+yp29nbEKgV54WwzYNODdjVlcsDSihicc1SjoeHDfE5Hhymfj4hWXar2nqlqAaFneOyduJGCc8Apkz0mnmUnB01DP5iELhbKZpMud3TojWMw+ZZTfn9KzhaFY2IEtTY2OiTnAzOJJNJaC7EIxToskCfGBSmlmliFqRbUWIlnGbCH2Lc1tyFFQ545oaESZC0tS6YsITRCki3tUNebI02tCYiks7MeyhX7R0nUQ6z1YkqmjYxswnu4H5oqOfMiu/Bak41gpf1YTo2YdM37QMYUAjMHnBoEeup4H7zQn7YWC/zcSsGNweI5cgPUIq+qhY1oabyfPk6pa//8XX2IyRGCbiCCgYteL3P/2c7XZkMatpmxpbCW6NImUIIZBj4HhRkyrFv/ju9/nmh5+zsSUIfXFxzZfuPcB6Se4qWO/54oMjjtuGe194k+A0ynlu7P6QKarKVEwecPpMFCtiLhsyWRUhdSiMTmEotEYKEphsiq2yaQuxUtZQdQUNnFXZnNl12Y7l9Kf/ClmsmLGGtCvYfdUgrAUlyFWN1KrcBb5kApIvAs6IIiCTBOuABH2DiL4g/CsJIZKFRGAPJ5iqiDzRF7GWfHmc465k60JF1qL8bWl3OBk6oCkbPFHEmpC2THtCQNQtOQFpc+ibO5yYcio5QRZF0B6mljkWoZtEKlRNkVFozlvJlCHFzN4H9ps1Z23Dnaqm6iTX2wmlQKkGP4385GLFw6OWeVuTtWYMma6piTnQ6Bqj69L16BOtEWSp8SKyaAT7BJ0RNFIQZUAqQUfi1o2cdwYnNCFmop1QdUMrO7aDJWqIU2Jj99SzxC402HFkcBatGgyK5BLBRI5Sou4b4nyBn0YIpfenNaAWc4Su6GXmtaNjnm5WhJSYsuJH11s2MfHu8pjj2vH/bl8dLmokGUUtIpuQUN6xMDWNzMxqifSRRgmMmpH9jugTy5lkYzOpVmgBi7bh2Jb+ouvgWMe/FnB/0SPlTNsosjCE5QK394Tgqect+9GxfnZFc9RDTLS9JgdH1gZJQtcaP4JNESEFbadZbSfiygMKraoDI2jH8VHL3jusS2Qyfb9g2O/ptQYhScKidI2KgaBqqqaiEYnRCyKyfDIpSUyRRlYICftoqayHSpKCpW5qUhC0JvErb73NHz1/iu4rNoMnx8AQLDFE1FhT9wZPzRQylahIyqCribpVpJ1FzxdY5zk+6kq9YxhJVCxtoNbQqszx6ZJs4PJ6i59cKT63hsYITA9hqpkLOK0a4kJzdP+MwSXaxpBE5sn2krf1MV84WTD5iDg94QefXfDpqxvmXUWtJCrDJlme3q7oG1CNYrsTNCZxNU1cvXQsTzuySjibII00dcflrsQ/9tbSKEMkcDVNrLeBF3Lil+/3fOPdu/yrD5/zdLvh//ye4z/79ZZ377zO5zeXyFZhbamJaJaJq/2Gowq2TnA215ikkbrCILlOt+TDc1BlwS4K0IbzqmHoPS9Dy1YlPr1cc9pUuEXFUb/k7335db447zmpNe/fDLzaWb776hXvf3pBEAazEKR9xPvwMzCF8Zl/8N57VKLhf/zdP+E7z6/4nfc/4tOnt9x574TO1GQfmLLEiESjFT44Jp+53W54Y7Hg8XzBB3wGKaEo17RJpCJcMGWwkEvZtjx8VqV4sOhzyM4JWQZ8lD61lHQpxSaQcoAoSbIIK5sTtdA/c7dIKcvmjCJ2Diec8n+ULECuSCn7NpBiQgqNzCWNECm58hwKfCVRgZT47FDKHOzGAWSgEg06VYwEAo4maZws1GKZAlqCO+T4iKCVwJGQApJMhXoZU4HnYUBJUgz8DGeYAzUVSTqCTMhU6g0S5esky2dyTglpBJqKAKydo00Nz90tFQpVRUZvSH4i2sgueJxItCpitaIRgs2UsDnixsg2RDZ14O7RnFknaFVLSnC93/B8NbGsBYumQtea9ZRoq0iNYOPge0/XTM4yzGoW81NcysyUQlUNSSisiAhnMblB1wIjJT4EolHcrkbWm4EgJS9XKxozQ4gCChNKc+UDPpZCd9/VyKxIqqael3oUIvzg8pY7quZR3/JLX3qLjz+/YLUZeHH7Oc1X3+FkguWsoj865Xbcs5xJEDVLHdiFwDg5NslTp56XwwootWKr6LA+cjLT+NCyHVbMTMfj+29xa29hV0Anf57jL4WAk1KglGHaj6hKk0ewOjJmxyfrVyy6mssPPdkGjl6fsThbMrnAbvTMdY1NjpgiOWr8coHdWJTQYCpu0kDY1wgfmTcLBvn/sfdmMbal53ne849r2lMNZ+rTM7vJZpM0B1ESRTtyFBuKEwMJYEgXBpIAuUmii1zkKkauHCA3CRIgcC4MGIgRJDASGDZgRECQhFbMyFZEDZTUJJtTd7OnM1TVqWlPa/jHXPybjJEbUzeGBGgBhaqzT9Xaq1btvf71fd/7Pq+jubcA4UiToMqKy13xZH1FCL73wRNOa8UPrtc4kbjfrTjqWpZdy/f3O+YKqtrwbFI0FC/CaQq8eH/FJgruGM1lFBzFHhe2vG4aXFrxpI9kB8oICHtmckZnO757+Yy5grunc7zW/OjsEW7cEIeRfvTIyuNFx7JTsLeEfseiq2hNy0v3aoIUPH26J1YeO0jaHJmmSIw9MSs6JTlJcD8Krr1lmAK+q1B1zZF2NG3FMI1UwmIXGpFacszgy4UlDg6pBGOKhJjZDyCEIYcBJ6DSmaQiMUSCq1nUNdIEhl2gaiK2tcRUA4mYI13VwJQQ0SMrQ6w0/e0OqxXnAd7dVHz6eIXaDoxJILVgVa3QeMaNJ2qHc5GurRhcYFZ3dNZyftujlS849KYlysRu6lFZk7TG5sxCV1A5vvHBBbW0fPbOEXtffBMbt+ObH3/M+c5xf9FwcmSZpKQh86GR5MHTSE23nNF1Lc+dzPk/vv1DrnrHYtEwjZ5+ctw89lhdY+8mutpy6hpMV6Rwu7AnEKm0YorF05XiwQR9mBARtwXsYaoikfzxNIzqELj946lnIV8RB3BVAXvYCLpByABeFLllXRdISSrZYuQAdVdAJT4V75loEPQley45xOgK/dGqA+AkHcKvQ1kQnQOryVYjRSanSPYKhEQEdyi2CkIcqjIBzBLyrnjPmgW5X5fKqmtgPNRcwZep3Y/DzDn487RAqI6cUvn9VQYxIYIp5ymV7mShcCaQgpxuEFGWmIVIkWgiEF6BaRBZsTKqXPR9oq0rQjb4mAkhoG0gCMFybrm42aBRCCHombgaJRiJyGARCKvxLuM8pDBS16CyYHQOmQWL+YxNGJlrSRAe73fELLGyyFPn0jGlRGUyQiiSMQXCED1oSR4GhIRWCEKEUUuqrmMcHVs/0emKisSwdaSm4aiZo6qMJ7JJkmOjEa3FBMHTYcvuZo+0kkXTsB1HrncDnU68tx/4zBc/RdUEvkzg8dWWfZS0bcXVtidPBR8/mMCqbamlxI+e251DLgxCwkhCDolFW7MTCaaIsIp5d8QQHQ9c5tmY/uUvMn/KNyEgZMtuvyMmqOrEGAPLkznTesvF01ueO26ZdRKOFsiQSL5IoV3KGGWw1nIz7gl+5PKjDTFEXII7JyvUUU2VFVkqFKCyJEfJbthRy6KiQGl0SOz3nvmiQSSP94ldTgWSJDJWeHYSvI+I6OiqloQn+UDwMGs6qrYmpcw4eWwnESZxcXbN3BpiBbtp5GQ5J/jMzcUVWRraLHFecH1VIgAWszlZFby8kMUfmo1HalVgue0MpYrK42qc8FtP2HmiFoQxYHNgvQlYI/E+c7RUfOqlu0g/0dUNtx5a45HS8OK9Fe+fb+iMRdU1hAHZKG6mkc1tz4snK27HCVVVRJ+ZXGLRtoQciBmaRpKSxW/AGEvyAakkWkqyjCgJjzZr7iyPmFmFlHB6VLHdDPRJUHnB8axl9BP7YeDvf/sJLzz/HvcfVqSUyvQkBhrd8OJcceM8dYgFGHRSs77ac9UX0EyXBU3Xcb4r19ZNX+4z7s0awsyxjZ5mkbi+Hfjipx7y5skJnzmqMdnwrYs9711tud6PvPPkhmgMJiVsLeidIcURheTec3P+nb/4WSyG7737lN97fMH//tYP+fBx8S7Oaot3gbquECKilOaNl+/xzo8u0Y3manDc7QImWypZlZtZAYXCUQo1DxhVqJGH8g1wRJEwHGT7yBKvkzPhAPzQCiYCKu+J5VV9yBnVZcqlAiGaItnMB/GkTCA0Mh98ZvrwddIlk04bUohlCYoFYBIpRWBGAKksUVIgKRZvqQ5ETVKRMeayjJmckEofsC2U4G9VPFxaUEiTqngDtUqkCDoZkh4oxaWi3NYfqJmpAFFkBpJEKkugPEcIe6SuINTlwxBetAAAIABJREFUDOZEMvLgFUzIXM5hHwIuJqz0DPuylscY0BlapZEpknSRsgohUTqwToKltSidcGnicpuom674bTvL85Xio8u+3KeRaMMAGY66OT545mpidAKaGU9vd0R3gdUG7z2ryjIphfMeWwm6yjD6kT2glOGo7djuHVFrnPdkJBu3J5AJQqAYmbwlqYRqBGOesMmiVDnrmkRU4GLkm7cXPNvXvJkzn3nplO9+FGnGkd/+1o/ovnLMPduwmmu4DOA8qo4Mofj2hxRhgCfjJbveMYVEVxse77aMZH7u6D5GR2Zyzi9/6UtU8znn1x/gXOSntbb9ySjghODozpzrDwZUzlStxhxXHM81bjOxzplPfvIe635gvwtchS31omPcBXIeaOZz0u2IaiTpWhFjwOdA186o5ks+ur4hmMiXXlhy5WC+bJjCRJKJ0de4piH0mlplhgY+HBOvH8/oTWLZ1FTBcB0Sael566MdR1aha40TFRfTxEtG82A14/JsgEZyft2TRea4q3nxZMk7uz376x3Hc82sUkRT89bTM4I/YzcN7KVBy8yjzcQP373C+MR8eYJJjkFFTJ6QTqHJmNYyxJE37h8TqkzOFa++uuJZf0NUmaB6qtSx3oMzgk/cmXPHSF6oLZ1VXI8CIz27cWIlBd1pS7iJuD5jtUZLgRsdwQl0TqjaYhtBzB6JII0ZQ0TlxDg5zEyh2iVpHAkSfB7QosYZQQwW02qUUowu4AAxjBhVJobnPjGbEvudY7lacG9mYexZ3xjuLubEfodQLfttBGsxugQx9yEz67fIXCNTRsuEz5lplLQqMvoeGzUoxW2MmDAVer0RnGjDkzHxtffPeLpbMzcdSng+vLzlo8dXnCznzFczfI60s4o4DlSLhs20515n+NzLD/jyJx/w+z94zAcfbBCNpF1IKpnxHWyebXntvuA4ClZZ0xH5aLuHuuXS9VgtsVGyTwn8vmD5JwHRk2WFkMel2NAH/5hWxYeGKv4yrQtd0e2LdKOZl4lWOIBEhoEsUinyCKWoURJyi3ADeTaD0ZXuYfalyHJDmcgFf+gyHkJH/VA8apnDsRiYQoGicOCK6FgKOrkoi2zcUsx07v+TAYhcjiUpkIns+wLvEpTIg5CKh48Sk5ClACURoUfUlrwL5GpX9pvNIQNuAkqot5C6POU0kVgi8raQKLOEffGtiAbIpTmbVSD5XDKShKJSgK6YJs/c+IJ6ToksIARPHx0hw+l8iUkJYuImCI6zoG1tQZsryfW6pzWw3xWPabCKSgUyEVtZxkmiBUwioREoIVkHhxGSMUqizFR1YB8zYxyohSjWQ61RLjHiSd5i8Awxkwh0pkZIyZQS2mru350xNxqpIpumQvWRyzwxXe5QqtwoUBkkmk+dWG57x8UwsBl6Zk3LH370lJ/9xPN8sXuOT95NvPXsgrOrK2aNZSKQRSBPgjMxUevMsdbIVnO5uz10qSeoWnbRMUwOowzKSsbdnnZuqFVHCn+WA/fH3YSQjC4w3HrqTlE1LdPa48IeWc1Iskiq67ZBWTCVZtwEspa07ZJh6NEh4r1n2HvcGElpwDuNrwbkwuKDp5vXpGnCigjJs3MR1VZIlUgIjNaInNgMu5KdSEAJRSYhFASREU1Dzh6lJKopxaAIknlrWM4X9G4kRYOdNXzz/cdFRa1ticiYYqGyKs1u6wgI/LgnR03KAlVHbAczOyMmj588R6cNKgk2G4/tLKu5KRMFIZiiQPSekDwxBLIwxCkijMJtA3ZpmM0z+yHw+NmOV+80RAwvzhUit6xd5rlaYx40vP10w8sniVdPOvYxcbVLbEbN+SaRUqSbFwXKFAXn6xsU+iCRsxzNKy53EuEFd09rEJKzqzWL1hJTJirFOI28Nj8mpYTMglYo3j3fIGzFG8uO75z1rBrL+9sr/s7X/5D/9K/+HKbTdHIC0+BioRke4UldjUwKJs+NrQn7W6yxDGnkcjdyZzVnGj1X0fH0diT4wMunR9Qq89GlYF1DPRjMEPjYbblykt/+0TN+9OiMIAVeJ7qFZhwVpPgTYujdRct/9K//OX7tL3+Fv/n3/infPr/gu2cX7CZPM5/jQ2YYI/O2I+bAYg5HizlNNIxEOpex9Yz9PqJMQnpRCjYJJIWUgqSKrJesQQhizMWXpjUqArlGpoSmJ6DxSqBEdUDmA8nhBVTZlsJFFQJxRZEilprLUbqJBbhVJnUH3H8EyUjKlMIlxUOz0hX/HJqgHTJVRRYZE2SFp8CpNAffXU4F9S8KdVhmiRYVgYkg9yCOkLH0XlMCGVPx7Al3aHBSfH0xIlOJQkDowjXLrjymUpk0poSUNSEfYg5ymdpBAcNIIKTC+4wplzUxeoac6Q9e2WSgEpIBATkSRZF9Gq2JwSOlIPhILWuMSigpyNEwqxuupgFxe8OsrZFTQBvFJ1+4wwfn5/hx4mrMSFuxcZEcJLUBJwS1CDQms/UJkRWD9Lgw0pmWRhmE1CQryEkSp8QkYWY1J4uGi90OayLbXP7GBklIhWJKHHARxKpGTxGZIqqtGfoSAl/JRDKeMWe+P+wZri44ri2ff+ke/9cfvUNr4df/6W8zDZ/jq599g6ZrkUDvHUPQPPM9Slo+cW/B++tbQi+YsmQ/RrbjyG/+6CNmpuKNxQlvvvICclkx+S3HyxPevf4hk/c/1brwJ6KAExIWHVy2DaOI2LZhebRk8hOb64mF61BJMipPnyU1DTMqXBu4udrQ6ZpZXaOrFqN6bp58SCMqXnh+xcndJeuphzzjwWrOVx/e559cPOH6qWN1YtGj4+uP3uVnn1vwcb/lS3fv8PbTK+4fnwCB69GzzmvCztPKivVCMmwCdcrcb2oeJUfCIFTL+XRL2G/xThIwbIj8pnjG2xc7bs/X7D8ceOPBS7z5+n0GZXlysWVIe5RR/ME7a55djUxe4YSisdDM72MpJuthyOzTmjwFjrolPQNXlxE7S1R1zXFzzLP9Nbc+ghzQtaF2ktN5RyZzK2qwAuV36GywWdBEj/aeuq2QaWIKDh0kUQjQia1QNNEiaLCyZx/2TOOEmndoPaerEoqICIG5aRiTZwgepaCSiaY1DCGg5YiUjvl8gQ8eP2SGFEBEYlDU1iC9w+0zuWl4bxxYt5lP1IbN5Mm9R3qNqgx9P6ADBFEjbEHmjzvBq3XD27e3zK1BGEVKgqaSsIlEldFSI6lResf9bsaln/j2szWvP7C8Nmt59OgS2oqjRY2dHCMRdzsyJKiy5P6DFb/ypZf493/+50h+5O/832/hkuMT906Z2YY0h/TiKf/Kw3scaY3bDOyMZhcVmsQmbaiMZJxgu98TlAc5K6pJmRC2UBDzcAg9HQ+FUoxlIpfjATqSi8RQz8rUrXcwN4c8uKYUVGMsLXuRy9cmQhvJyEMBxgHJpYBYJnFjKMpMDgtBymUsllUhVYYJIStyvYC8LUWj6cio4j9Lw0GuIkvRWdXlmNIAskJoSw4R8oRIouw7ueJ1M6JM2iJlOgaUSq4mT7bkuxUGcvHl5PzPTSclOSaEUGShQXgEHSlOJdMuRYQ1JZ4hK3Isi1lJ0lNkKehyYkqOhS2vL1B0k6dX0JgiDQ6jpx8djRFMw47jWCOsIYyBk65mHAemuSX6En6ejKKSmVoY1n5kLhuScIis2Y+BnCbqqgEt0VkUrHlKXF3tiRnqypKFZHIBJQStVlhj2SnBiAQ30taKeWWISjCNDttWnF1fMswrdLskRVgieOQ8U8xMtxvuLRvuzxcEB0F6KgMvqhlnQnDhA3o38jsfP+EvfuplnlsYlrM5b+mWRzeXNJ1lN0zMlx02SUY/cj5G5l1mExzBSTpd4aYdN760lI8bQZw8MiRu9xkpSlHxZ9sfb0s5k5PHqkR2ChkjV5e3qFvDbFmzOl4y3PZUtcKPkdE7rBFIU5PjSHKBoAwuCHo3EmJEiJpaZxbzDmtLDlYcHFs/Mm86cgTFBNGzE4qp31OJRNNY/ETJxGxrKiVwY0RrjXKSXQ5UBpQSpCzwSEQeiLkuN7x5AuU5blt+dLNDmUzWE2uXaYLmtRce8uHVFdEPKCOQbY0QEq0kR7YGIxizR/kJUubkpOPyYosgMtz03H3hFK8LSGi/79FolIGbfmA2yzSNoXcTIXn2e0W9MpysaiprsborUJhJEdIOUExJ0RlLczTyg/M1p6pmjiKalptxxyQ0JovCaBIGJf3B1iBQWPppoGk0TRvpdxPXl/DSnTm3raGxhmlyLMycV08s5/0tMUf6aLgaMhPQVIqA5bMvPmToB7IPvHO55T//R3/If/HXf55HQ+QoGjCg80SfDSCZGBlcoDKCO3PFe09GnjuecZN6hh4mrVlZw8f+mo+ygQvBJ49mzI4SWUe+f37B9y8LNj+mwNOzWyYD0XtkUORJYKUkCZgf1/jbyF/96mf4j//NfxUpGv7Xt7/DFAQ779kD9ZGh1Q1d03B/URF1Q2cU55cT31h/zNGDlpvrgTx6GmuJfk+QEq/KNNkjqIwGxKEQkgx5V+Am0paCTsqSHCNlkVgqB0kjUYcpncZMkWSqQn7MCSkEKEUSGhkOE7dYJleJH++rP8xmdFmChceLgMo1MlJy6CJoNC4HpC3lnxblHkWLQoJO4nCsKYIqkkViGZwlClxFokiiKcUmkRQiUpZb9UQ4qGEAoUgqoaUjJItWlrKwhwI4QZIO9NEU00EqWs6FFglJQ8r2MAekZM4lh5EjKWq06JBCoJhodIOLUFeKLkduJlA2sQtwp60gZ8YE6IxOHoMiuFD8giIiMAzBw2ZiqBMPFx0QuD9fcLUdcDEwuAkVMzIntpNkbqAzLdnI0nCNkZwiQ6KEoqtMnyoaoVHCsPZ75lay6hRaB8LkcV6QK0tME02u2eaEVRZUQquE6wNKWVweCTcjytZE3yMrg6E0pqRSnPmR312v+XRMvHj3hCeXz1gYy69/4w85u73kz3/yE9jUY5oFNmRaX2IbnKlJQbNYNpwqxe16w7KeMX+t4Y5e8LNf+BwhbNneXOI9DNOOm2Eor8mfYvsTQaHs7p7kV/6tv0LvPc7BvBacLFv2yZObhuhG3rjfcuUiuunI64HL9cTpwyN2NwPKJO6+MMM0hul2z3e+f8l8gBfunSLmmSBqxnHiKy+uePfsGXZquegHPlo/4vXj5/nii/f5uO/58OmaX/nimyxrz4fnt6z3kdoKaqkYpeDTqxW3BHbXGx71O0zOBNWR0sTuAO/47It3ef3eXb7x7iPevr6k6jSXW8fb75yxlII3Xj3ibL2hnd3hqBFkn3jn0rPrL6hUxbJpMNri8fRh4MuvvYxRAj8Ivv/+E9x2y8uvPySbiKo0201gzD05BzpVwzRyevqQtpFsRk9TG9Qelkai54l7eobTlrtN4r1N4J+9/wHSWqoqc7Mdib3HTZHWVnjv6L1HpGLL6hpJ8JJ8kIYgYa7akuOjIuNQiKBCG+JuApsYJo1sa+5WFdmMjB72USCGAWqLQrIyBhcCo4u0QnBysqCxmv3W8YUHRVaynwT7aWJeR/YhkkaFFAKnItE79sJiYuS2TwTn6eYdnRU417OQFQMCqSOrtsE2Cts2aGV4ednQG3jr8TO+8+iW7APeCmZGkpIkNpEvLI/4tS98jpdWS/7Lf/x7/Pe/8zani5bOJEajOD6yEC2v1hpDgzKOahKcr1MBu1Q1tc1stw60wirYjj3/8//y6whTlamRGyHuoDKIUDyheID1wbNmyshK62JSHlUpgtoi0WDyRZKoFmWyFoE8lOIqxvLzqgJ3WzxyogZdvDJCyINERZYiUZvyPSoWoEq/LgtjrAqCv6rJfQnDplkhfAI5klMhUZFVmdyF4aD7UMX/JgLk/QGHlQvQJB2w/oeEHcRUYJLCgjj8TsNhIqjLQpHdhMgB6mNy6JGqZDhlkcjegw+IypTWpWzKceGhOpzDmMhC8Jf+2i/Qmpbr0SGlRGvwUiH6nuNVx7OrHilKoXflRu53M5J3jFnQdRo9TSTVFClliIhaoXOBP0Bk3yesNiwaQZQV++BoSNxpDdcxsRtHtJMIMloLLr0nJ0lwiTE4dFVRK0kQhpgmQhqZ1Q1HRrPLBhscua5pRWIImZnKHB+tcJPH9z3rIHj9hXtcXN5QiYhTVSkwgWVVsZUJIwX0AQ/0DHx00fPCccfMCkKo+Pyr9/m5V1/k0YfnfO39D7iZ9rh9YjarME3DNEWGfmK/HaltoF3M+Ohmz2LRYJWlnQK1ygij8ElyvrlGS8PX/pv/8c8olH+MrblznD/9K7/Mfj2ChdVyxuQm9j6h63JjuzyeM609dWXY9zvqrsHtB1ISbPYOt5+o5xXjxrNdb5ikZBw8i6bixVdOEbWgaWt2ZxtsU7PbD2QhsFrT1Jbb7R43BI5mVZGAKYMVCe8zioSLCR8jOinmixndUcPNzQ2bITCOjsYqZqam6jQDCT9OdFqhKku/6XFCECfBYlbIfylnrvYDR8uOLASVyFRa44bExX7C9VtkXbGqDCklYsz4IVDNFcNUJoYuZzbP9jSNJe572vvH5BSJtxMqZKpa8dKdBa+/dJ9WBuq6o7KGGB1hSIwKbnykqQ1WZ4KPXO8CcfLcXXUQMu8Pax5d7nnz3l1ePFK8t9lx4zK3O0e/3WKqOT5OHGsJ3Yz9ZkvOia8+f4d3XWCpai43PT5OLLuGzW5AS/iF5+/zNI9859E1q6YiDI6ff+4uq9rynacXfLibWKaKX/ulr/ALb9zhyfUz5m2DFzAOE+f7kdvtjlpWXG8nfuT3/ODJDUtlqNrE461n10/Y2rBe71m1DSTJc63le+c7kiq+1XZmWQ+B9bZn8OBGR5wcsrX4fqJuNSdG8Tf+2s/zS598he++fcV/9o++Rq9rxuQIUpAmX/IBreWrLz0kycSFT1xc3rIdeqQwOO+5s1xwfG/GxfkNYow8/fB9pJ1DsqSwK9Oeg6RRRYlMAW8oId5JghxRpEP91R4maQkZCv5f1pqAIKaMkY6kwCeNyWWq5okouiJB1uV5yAmZBjALUoKYI5VQJKnx0xajwSuLSbLE5QhA6p/44VJyhSKZ9U+AKRwiAJJIyCxJKgAliFxiEGS8isjkkTIQkkWqUixL70jKMiFoiMgoCSIVmmQq2YvIhCdhRI2OqazLisNaC5MCK2r48YQPgfR7CiUzIJMjEfkLn/8SqMg+UKbsBIwwKF1xf2HY9JFpGiFb2kqUXmyE7RTZ7/coIznuDI6a6CNKZiahwE0kJXjjaMVsZjGV4tF5z9l+TRKKY62xUmCqio0fud2PCBkI0SJkYkoTWluMBasMEcX51Zo//8pLvHa6IGn4B7/33YOMVbF1e/ZTQFVFaaNbMLOG4B2yz0w+0J3MqHXGO6BSkDxGGLKE6CdqWUGM/PLzD3i+W/Ds1vHe4zMeni55uh741V/8EmfXV5zcvctR1WFlYB0k292aadrR1C3X6y2dVvzMm19iuaq4eHpN8hJT7bjc91xe96iY+LX/5L/i2997519Yxf2JaIVm4PVXVnzitXsc3605Ws2QVebyak9/eUMlNZvRc7dR7MaRZ/2AChPT0FN1mmwMV5cjuzVYs+LVlx/ws1+4z4O7CyplqFXCCsHvPnlKYyp2tsdVgjvHd7lKkh9tPUezBZ2UqGHNUtc82e9RFjajYOw9VdKc7wNuGnHZEMjs00gtQAlJdA0IzfX5NR9cPOGoCTy+2eD3meNK8+ZLz7NaLXkyBmS74OR0znrr+PZ7z7h2W2ZZ84mTI466in0cudqswVZcrR2r1Zw7KwszDbOCtF2PsN46Ygjc3iYmX2OV4f6DE44XC3QUmBAwLrCqJQsjeMUuuGMNbfT0zjMnEnNE9AETQIsG0xnaZoE0gqQ0qAatEo0wpKRorEZpjdEapSucymSdEcpg5YECmBOTNURRFRLZ5BmGjJGZSkcUgagNQip8UGStcAmqWjHh+Pjylo8vr9lkzzcvNqBq3LQnCs/ZNmCISBUY8oTJmShqhikx7QMPF4bVUQdVxXZINK2CSqEqmJRm4wInbceqaXluWfPSsuZXP/kq/+6br3JnpthPIzpATg5tPD/z3IJfeu0lPPDfff33+dr7jzi5d8z52YabTWLXe4YbTxMkbvLkac9w47gdMrUM3PRr9ruJRiq6TmOkZTcoRNDAnBwtIm1BTAXx7w6UxH4P/haiAZqDN6w6FHUSbDhg9wdy/DEJq0gUkU3RzadDsWersv8QINalgHIOAoX+JKH04FQhPgpxmKpJ2G7LlDCmMtFTkENA2IAwEhEBsSfHiFANCAfKg/TlSi50IVRWY8HYiQzSlM/RQdyX58tVAbcEgUCX70lFugKH44kGUAhb/SRiQChBjpHki8xUmA5RLcDU0FQI4UoRqc2h80mhUUrDVkR2aaKqDVpqXMg0ABo6LFophEhImcvEKZTJAjlzux6IsiI6T46OqGCMmfEQilwjCRI2fuAqBFyeGEbHOnie7SY2PjFGmERktIYpBxqliVqjKoGsNdvQYyqNbQvS3aDZ7CKbMbLqGoQwmOCpjObBXHPTO252AxWZ+WqF1XB284y6MsxnpZuaYkYiGFMibEbiuCfr4iJpRcPzRwtiFFyte5TIfOP7j/jtH77DGy8+4C/9uTeopeaWifN+y6PHzxgGT8ieamWgadnGxKmGevJon2htKBMYnahF4tWjEyr1J2LZ+VO15Zy5XffI2rBsWtrZDGUNYRrJQqIqxbSfqCrLbrMtMCIZQQkmH2i1opvX5JSpZkWuG8ZARjLvWpaLGpJgSoLVC0fYpaaZa2xlELYiKTBWF1lkEmXAnzJCV0XilhNCQKVrFosZ3sLHjy4YXaaqDdZqKlOxGyd2G4cbAt1qBpXCuYCxFu8D0kj6XPTVWktkzkw7h60KsW8cPH3vcJsbUojs1xMVcFzXGFneN1lUSCGQSmCUZfQT47CnmlXI7Y5jpXn9uQVvvvaAr3z6dX7m0y+QgkNQQU7s3RoXM8kaJj8yk6BSYOoTo0+8sGh45+qSs+uBbt7w8nzBp+4v+cGFQ04tXzx5wGkyuH6gmnXEyYEPOCURKVJXFmkUH28CXz5aEZMjmciy02htmS0bWq25Gjyn1GhlQBiG6Hjr6pZnLvLKvVOeayQfTbf8t1//f/jNb3+AqTXX20sW1Yxlt2BlFUZb+hRJtUc6wYOl4aNxwwfXASkylbGkKWGNwOeEKRZi6mWmj55aZ+4qSx2hvznI9vHUtcKSsJWiUoK7y2P++pc+x6NHa/7rr3+DXLdkP/LwzhGzeYVuBUenHS/fXXKWPGc+MA4Tm/2EC2VapnVm1w/IMfHa/SOyhKMjyeQumHgGdqAPDkRVyJAplEZhLNeTRCKFgRg0hhkaC1QgLd4mkoUgBBpBpUyRCx4EKjJpUrIYVFlCyw6JmYNXrUL6jMy5qCXIpBhRRkKSqFRCuZMAHzVJqJKyE0tzQ2YOdMeEpPRDOcBYigG8IiVZ6JAq41XCJIWUpnjWJEgCMgvSQcFQkcv6jijrfnIQJVIaEBJDacwKFDkFvO+JoiYLC8njggMlSCmQgifhCcIdIC8WmQ1JlQmV0mWaPsuS5EZimrjceWJKxJwYvWNwxUcnU6bOjlnd0tUNDoXInpmRKKlJ0aOMoq0NV25gM01s1iMPTlpePJlRicAoMiEFLjYb1vsJKyRWdkSRWOeMFYYcHes+cHk7cn17C0oyryTbyfNkvcMajdIKhUcrjRAFJbM0EjkmxNqV2xJtqYUmbhP7MZGlIrqEC4qQPVIb2roGIVBK8K3bHW9f7WnqxMN7Rzy73XBnofiNb/2AO6sVfrPnw7MnrPc7msnhcTRVxdXthv1+IoSWbjXn6vaaMSaaY8mTbc/l9hZlBKa1xY7wU2z/wm8TQvxdIcSFEOI7/9xjx0KIrwkh3jl8Pjo8LoQQf0sI8a4Q4ltCiC/9NAehtITZjLaekaPjyUd7hh7eeP0eR0eniCpzscnsdMsr91a8cNoxP57hph5TS8yiJUbN+mrg46ePuL51xCD43vklv/uDD9k869kNex492vPe+TVWVRwtl5zqmrNn13zw5DGD21EvNM/SxEfbHcJnrtxIyDtmVcLmwDje4m/29GJiP3iMtXTLlovbDQsTMDnye4/O+N9+cM4//vAKITRnfc/qqOLTpzNWsyVxJ7gzX7KoR1ybmGTgwQx8TuwSrCOEfs1uPUDMnJ+fsb4455nfsWgqOjvjw7NrlsuKzX5PVQkWi4ZxSoR+5I6eU42JUym517TMmorjznD/pEFlxcebYtKuQ02XoW0qbKOJOdFYsF1D09b0WWKaBmsFo6yZdMZl8FkgRaJuBK2FKXhc8PhYpBo5CCKaSpdOHSrTzGomEzCpoUbRVYZVN6MSCiMzwzgQhEAqhdCWMQj6vUdmQZ8nfv/xBVM1w/UeEEyTJvuAyILbzYSMHpUDpkrsQqQ1ghw3KDshRsNtqtByxr265uVZxwt3jjluLde7zNfeecbf/iff4R9+8wnaKJpK0Z5UPH93yb/3hdf4m//aL/Kga/j1b3/A3/2Dd7ndOWyKODdwvV2zMJLTVjOoxOMh8mwHSVUoOSHynrm2xOhptUFME9thgxYTRqgiZfSh5JJJX2QVui3vyhzAdsWbltKhgAOwRRbpDp0+1yGEAHVcCrdpOnTZim+weM/GssgNG9CueMikKM8nI6KpirxRjlCXiztuPMgUJRhdFkptCxTFFzlnmbaNRSIZw6Eo0+AL3hcM+LHsy4VDaLiFYSyB2lIV64DwYIq9DQ7FnAxlqhiKv4GpPxSlZUqFqcrvkTIkhbAGpCSLhNAH8pjzZGEQeUTISBbicD5Lm7CxMyYXESmgW4GuFEIoalOz8QOVMcxnNaJWrDpDpRJOWJZtTVO1Jf4kZk5nNdkkbI7UIjNlyRATQiqUkPhxpPeerio3AwOSfjtSJYFPkX7as86Z83H1LMneAAAgAElEQVQi5sA0OOqYaU1FK0CHRINgNmswFoac2ezWBBwRgYyCvc8oY9j2AzdDz363pzFwezMwpsg+BVqjuLesSDKxCwGhEpOHzVjy7kxtMFpyVFeMSXGz27Iwmm89WbN2O15dLvnVz3+Wn33+FazWqFqyc3tqJbijNEYrpsmhdUVCMPqRKwTJwH4IuOS5DgGp659udfpTsv3LWCOFEAgEWoJpLbQgdEaqhAhl6r0bAqPbk1RGKY0fJ7JIKCmRWmIajZSCLBSr4yPu3DvhhfvH3HtpRTSBQqRMyK4hJIGxluXpghj2SC1RxkJWjDmWppGBPky4HElSkWIipBITEEePj4mAwVpFbSSKSFVJVCtJOrPZjkwuszIdi7pi0XYQPMF5UjYko1kct/ickd6x7iM3k2M79UyjZIyKKsOrz93htRfvM1vMkE3N5DPaKvxuROTIspthVEPOmmVlOeoW3L97l1eemzNvPJvdmmXbImvNmAU5WMbgWU8OJRswmf04MfqRPgX6HPjMy/fYupFx63ntaMXP3ztFsuW3Pjrj9z845/3bLVMq79sYy0RNisi23zE6mLcLzrY9v/XeNc+2Iz937w5324aYEi8rjTGS82ngqnfcXTXEOHDnZAESvvXsGoHgF15+wExrbsYtf+ufvcU3vndO3Sy5ur1Cxh2IiPGBO0vL0aI012qhebCYcdvvOdtFsshk55gJSxMlp8s5UsF/+Jd/kV987UWSNPzBO0/4o29+wNmjK9zkMASqrkC16kZipOGXP/+Qs6uB/+m3vodVitceLkhJsLu8pfaR08Wc+6bjzWWHUpIwBc6eXZLwGF08WZWELCVPnu0gKJ5/eMILn3iN1198ns+99jKfevUVTo8Bf80BVVI+3GFxlBJJB0hScMjgsYdCSUGhbedMCCVFJ5YStOxFlsZiooM0kmQC1R6k/hKJpWBHBGWNEqWAjBKwSF/cC/HH6yX5J03PiSKdRCaCTLjscCkcgrsjQQ54fuw/LxlxUgRijuU9KWzZV3ZALlEEySHjWDx8wgOJFLdI2Zc1MeufECyzLP41lCbJg8+PEiGVGCDtiSqAapC6NEwTGiE0OWWIHisEtcwEkbBNi82KVgSCC6yaBavWYPBM04QnIauKqs5UAjqlkFnjs0fkkeNasmwNlVBcTIGP1z1Tnpi8Z2bnfP75B/T7PT2RvRdMQySGoZw3BEpkxiyIWNzosFFRac2yrjnqZoScuBk9gyvctdFnTirLvfkcEcFpkEKhUMUbmTyVrbA5IXImRk8WEiPATYG+n0iqJgpASZ6OA29fPeW99ZbZouH+vSNuNhPD3vEb3/oBcmFYzS3XXrJT8HDWUlcdJ6fPc3p8yl/4wmdJWdK1pxyvlpw9OcMFCdGy6O5g5yt2w0/nE/9p6rz/Afgr/7/H/gbwGznn14HfOPwb4N8AXj98/AfA3/6pDkJJ5iqy3m5YzWc0x5mryytydtx7/gTbGEL03F6teXy1ZgesqpYpeNZnt7Dv2V9fc3mz4fLjHT/8ne/ym995zGZKRBcZU8TJsoB8cNkz1x1ffXCEbSIvvnTMcVsTQ0Ii+b0PHuNS5v6ipgqJHDKXwXNjBI/3G66GknLvtGW7CVz3DrFU1J2FOjMag9OBPmXmrWS3m/jhWxe8/f7H3O6vOLaJeVZ89Ngx7iZOj2csj2Y0dwyX62fs1peMAuqm4vbqhh+d3fKtdy74+NGO1bzljYfP0Swbeuew1YwhCqyBlQ58+fm7vLxseH7mebiYcXzaclco7thElSTZWIJWXI8bwrhBhxpCIBrYxYAJjpVXtDZw1ApCP5F8Zt52iBjwoWjDleyobUUAUgoYBDImKqVQsiqY2wjNwiBMS/ARawWbITDFmnnVYmoNIiL1xOgTkBlzuYi1s0y2sB12JBF5b9zww6dPDjfmkUkZooBZpWlXM+a1pWk7TN3hqMA5qijwLuKNog49lXDMZGLeJiqtqPD8n9/+If/wD3/A33/7Xf7BH32Hj9+7ZmYrjozkzZNj/u0vf5XFw8/wzXcu+Htv/ZCdc6SpZ+9H7r96xHOnc46tJpvMtN/x+NmGH5xfMOx3pDGgZE3VVEjtuHIKo2u0EUStSyExDqAO0QFTgPWzUkQJUzLRci6FXEqFCJmKLJWqgmpZJmq4w4V/CyqQxcF3FilZcclAlGSfDvRGisSyMuXdHwz0+xL6jQWvYZxK4SVS8auYfJDWJxhTmeBV7eH/c5myNcU3l9GHm80fF37iEPItSjvTSFCZlA8TM1n+psQJIQ4TxLwp3jidy3SOVApIcvG05T05bIs8opZFYhqm4m1LFK+fEKUonfblHCRN9odAcz/AtMMPI14YhFLUObMygozj/+XuTX5tXfP7rs/Tvt3qdnuae85tqupW3XLdqopxsB2SCLCAQJASBmHEAFkgmDBghmCCxIh/IAiFCHCClAQYEEBE6ZwIktjlurap66ryrduee/qz29W97dMxeNa1LYjkUskkct7JPmft1e19znqf9/d8v9/PVxtFhyZZcEpghKCsK3xUGJ+wKI4qlXN1yrH1keQFWgl6CaXN/+/mhWBWGlKA/TAxBoguMcWASpnYmKzATxE1SVzv6XwiaclkEufzmv3kqbQimEwS0wImN9IHga4sA4Ktc3Q+YHRgQnIzwWe3O3wqOFk0PN9sebEZaN3IGAJGJAIBVRhKY2hsASngU4+uNJPwnK4aUHAzDJwVBX/3ex/xfN9x9+4d/uy7X+MXvvwWR4XmyEpiysCXMkbSmMmzQ0rsB8fFZceundingAuSbTewUObHWRb+MB3/Pf8/r5FCCFbLiqPFnH5yTOMAQlPPjzg7qrDRI1xkvesRWjLEDCPS1rBcNZTLbAWrtIbgKWvNvQcLzu4sSEnguoQ9MyTvcOsN9dyQle/I0Ef6bkQwYcpIN41MLgEp56GcIxkBFoLS2WZlIklINHmDLyGYfEAXhlhqXJJoDK4d2HddBuVOYKUmpARyAlXgQ0JpyTjm3tFhcmwH2O33uCGyOKr59Nk1T29uKEqLlYHgelxI7Pa5CHl1YpmtFN3ouFqPtDdbloXivFTUxmKoGLVgEyJ959FSstCGU2sxJKzKnaIogSIRxsjKVjw4rfnBxSs+frFjVqw4Pam48R2vxj4rVEqx6wZkWWClZiZrqrokyEB0A1InbqaOaYi83Od8v3CBTdCcziruzQ27YeRLVUGImgKNlPmi/8YFLlswZUNZLLgeO37pvQ/5m7/xlKHdcbuH2fIOzaLhh8/XRBe5GVuuuh5GsjPFT+yGgVKr3MWm4LgW7EbP3/2VD/jhy1teXu15/PiWMU6g8yaNtllBNEZSaMWf/NZD/tzX7vPXv/vbvP/ympe7nu1+YDavuNmPCBc5q2oeHi9ZR4EIkc1mT0oaJRRGCUohsaZGEhh9z0fPrjFSo0vFyZ1j7rx5zINvvs7dk3sMrs0DV/S0+xegrwnDDSFGTCyJMhKkZ6Jn8j3BD7goGV3MqlpMBBJk0DaBg3ImEviElGV2n6SAkoKoDFFqpugZSYzR5R5a6SGWGYJiyLUFCYgd0melzRNxSIKUjHF3QJhYpNQE8ssEOChpB1tlPHxV6aCORRB56IxEcDInAIU9DLGH+IGq8IyQU9JAdod5mRhjtmjChJcHOEuQkEakOgDQYiQeWGMoSUg+9xj7wOQmlDGoakFuwUuUdk7PxMvulvXUg0iZwJkcUkiSlJRGUWmNkJFd8OwSOCR75/HBUemcxFjvPbedoywki1JzOp+z7RKV8hQzyyYquskhUiR5Rx89l+2OdnR0gNQFpVa0acJq+PDihlJLpAgsbMWsbKiUoFTge4cUCUkiBUchJSerElmWVEIShxHChFQGjEHISNeNuJQHR2EVO2P5dBq5GnuKquat106pKsU0Bf7mP/wtnm56pm5g6DYsmzlWaU6Lgp9++yGy7JGuxwhL519xO3YE5/AuMDuOfPb8SSbB/xjH7zvApZT+T+Dm/3XznwV+6fDnXwL+rd9z+19K+fhVYCWEuPf7v4bgw0cXPP3RE159foMUkXkl+ODzW5wYmRULTIyUUfPyqmVwkVkjSWWJHyNqPVIKybKpKcqCpjYksWe/2VIEQbVSSBMQh96shxH+na+9xXxRce/0iLtnJ0gxcv+4YEqWhUoUquCoaFAhctV7LnYDFDViVuLGEVsU3E6Si+0lJXP2vUAITX28ICnBmdaMQXF8Omc79ny+6dl2jgA8unjJo89fclYcsTqqmHaS46NjupDog8YNEh8Ccsjkoc8u1lxdbnn55BWPrp8zasV+GHHjnrbbs1qWvP3wDncWK05mBRSGJOBedcTxbI4WNdc93FxvkSkwTp7PdoHjWYOxBYXyWHTu0QoTUsKsguVSIOOecdiSvEC6hDhgcZ33yCgoraa22d7W9RJTBYSJdC4wuojxI90wEL1nlAPtONC2iThO4B3j5LK/fT/i+kjvAyFF6qbAKcV27bHecxVGPhoGulHihp5RGLZ7Rxrgaor4qafbjajJMXqwheLkaIWSEathpSJHi5ry+JhL3/J3PnnFc9fSnEqUjrhp5LOnWz799JKpj7y9mlGlQLx8xX/1D96n23ec1TV37xxxdLxiUVbMVzPm5Zy21dz0gduh45LI9y5uuQ4CmRlteFOzuV3jUuDIFpTCkpQAwkF2yspbKk+z+iRSrkHz+xzMtgV4m4eaLmb/RXTZmsjBRpI0tANCCpLNJ2aovvBqIJSCYgVeAsv8mPgFHCXnwkDk5yxraMrc2SYqSE3ulPMDv8NB9p6kLSl5cFtINmcFjCVJnUmYX/SzSXJ2T5r8+rZCuADDLq9KSuci82jzKUkXWWVT8sBcrvIguF8fBkp7+CyTC0TJFQaI4WAlcQiZDhUJ2UaSdDwMnBGqOUlYyhgRKaKSYvSwd1BoS4qeKibm0jI4ydZFjJFUVhEArySLwlLWlrJquFjv6TtPHyIhFrQud6SllJhrQ1XVLISh7yfWXU/be8YkqLSiFiVVWTClwMJKOAyIQVaE0TOlSDc4jNCkqBEICp1BNi9vO3b7kTYKNm3PrG6QKaJjwGpJ5wJJWkplWO93PG53XA4BESxiSqgQSMkRUkIKEK1kISxn9YzjymCsISpH3+0pjeLv/fZHPLq+4v7Jil/42pf5hXe+grGKurBcDAO33nGymhGnQI2kkFCXipgEghJpLZWxGPvPloXyn8QaKSRMziFnmrIUuDZDY8uFZNKe1kkKEzCFQanqAE2wxJDQVYnWNZUpicbiYiBNPeiAqAVCZyuVGiNSW8Z9wI+BFAT9TUtdGEohIQnKwmCkIaRE345ZZKhLxhAJWhCFIFqJC55Fo5A6ZTBWCPQexgRu71DDhBURCs1nFzc8vVljleBsUXNcarQ1eL9DJEeIjsvtgI+R/e2Ab0fGCDIEjIXLceKzF7e8uGkZpwlbWtLksLZimg7npNHTSMGDuwu+/to5zjtab1FlhZ3X3Ny0bLZbNmHAO4GPiiDhdFZTSkGlNXeqgspHJu8R0nE6K/nKgxnfef6EX/v8Ke+en/La3SM8jj5EFvMSYzRndUMxK9hHz343cacuaKzMG5LSMYXIR69ucc7zcrvn85tboo8YLEF4rnYT75zN6acOGQu+slrw2XbH9693fPtsRRQ5nfRqd8v//L0PeCktn15t2N/coGRgHzwfvNriRMNmhFf7bFUvVCSMDpcyB+vLZ0dIF3myHviNy6c8We/ZDgNUFmk1pTEYo9DKYFEUQvBg0fAf/7F3+dXfvuQHTy8yuVdYng4OJRWLowX1csZ5rSi1oHOexy/3rDuHB4ZJsJ8SnsToJ6YYUTLh08SPHl3gO880eqbes31+QTGrOV6e0vYbpF7zzjtf4evv/BTnpxC6x0Q8MmocFhchSAtSE3z8HZyjko5MSfYgJ5SUBJeQh+h4RBK1IcRACHlz+XcsMN4jQ4uSE8GPBwzghEsDjkN1AcCUh8UMItHEw4AWDx2YMsqDnVJhosZQgpKMasIT8THDSGKmnB0UxzpbJKPMzp1DO14M48GWWebaHJVHR8KU33+KKHnQKwV5E0Bm5TDGgohGIdEhd+zF31EPNcuyxhb59YYIw9gzBZc76XxLpW2uaUiwdZ42RpSyEDzKKFoR2Y4jQeX95j462sHhvMh7zDHzE5Sy7PY7Xl1fcjv0vHF6xL15VgSnlNduYUqkcnQhMYwTWpYs6oaoRoZx4sRYtCigNFREnJhQ0mTYjIwZ7x+yGhudZwgCWVZUdUWhBHdXBauqYlEtmauKlGJWXIPADXvwE4WSDFPAysg+JL6/33IVJqrZnFfrfe4Ptpp/8L0PeLa5ph0mXl5tCREmJrY3e1683KKbgme7x3z/8ws6N2G14fik5ocfPMJGgTU/3hr5k66kd1JKLwAOX88Pt78GPPk993t6uO3/cwgh/gMhxHtCiPeGzZ6rzzeYsuDkbE4YwNYrCiV5+oNPEKHFrBR7P3FnMcOtPZ9dbCj6AissDglNxawpWC4KqoVmuPXsNx03u8j61nG+mjNrCk7ODB/e7PkfPviEj28mPvroOVsn0LZgngoWR0eQFEJr/NQhg2ImJettzzhKLl5tmUzDIDx2pVFqBT7R9nsmIah9h257nu63+MmhY0dvR7a7HmNnbL3g84tL/JTzRKeLFV6MBCeppMbtdqQAc5mYrRY0q4azeyt2KvJk7XjROpZG07UtVXQoa7iZInNt6aTg0jnW+57nUyD6nkEp9iEyuj1bE2iHyExoGlsRLJzWBUtbs6gq6qJiJKGTZJIVdTNnfnwEQlPUBaayOCKTG+mGiE8DBoOQiaKQ6CKgbEGtDCFGaFMG8c5Luv2ewSc8E73viW7CmoLVfImKI1Er9uPAOIB3kW6c8OPIMHTEUeN1xcW+p14YHIYiRpRSdCoy4RGHkLRSE0srsElig8d4h6mXVGdHlMuGrx/f4aof+IefPENLzWvHRzRGUArNTd+BjJyvKl6fnTGue/7rv/GPaOPA6azk3kzzpWXD6zpi1Yx5rRiLyJPNht3Qoa2kKgoGHfnt65aLZJiUwJYNdiYYQk+hDcdGcFyQlSwlSMogmog5n2XVKggQNZgViAIml1H/5AEbN+TBJg7ZkhgO5d4WCA6ZioNyx8GOeBiMpvHQ1+QPFsmUrZvGZqUrDAdQisiPcSKvEWMHU0CYAqGWiJjy1ePQZvumOwyXkyPFHSSP4OBfSDo/ZxrATwd7h8wLiBL5PeBJ0eSy7QSMU4aUxEMubxrztmCjQMtcxK3rrDT2Xa5XcECo8wo8OkQsEFKRqkMOwo1ZAYwGeodIgtWsII4TIY1MIqClx+iEFYKensCE9iMGjw8jWgWC8OxDwCE5rUoWskASEVqQBoFm5KZzbNYtI4leOgrtETicdxnvPkw4JehHz+izKlaWkqqomClBMokmjHSDAym5mTxX2x396NkHh5YFRgeCyC7cqWtZ9w5coqkb5rOKeaUIDMTkKSvJvNKoIWBC7m1EB0xRYKUiTZ5JGgSCo0UJPlArzZ3lKUfNjE3XUywblJa8/9nnfOeTDynrip9+6zXGUdIPifOmRnqPTJEoI1YL5rOKIUZSdDQ+0oZAYww+TT/hsvOH6vgDXSN9NzBMjolAPwbabYcGTNOQqirnvWYFpS5IIqC1pLlb0DtYb/ZE7/AhQPJoIZnGhBAgVWC99TiXmHaOaT0wukSYHN55+t1EMhCsRinoh0RV1cyLvCEjEogxoJ0g9lAGRxg9IhToKleT2JQ3PqSEcT/iBkE9twQhmYSirApSCCQV2ImJbRuwRlLWhpg00XuYIlVdU9YS7UdOrOYrD46Q0lIUkiF5ri+vaHcD3eBxKaKXBX4MrF9uSZPk21+5z9feOOfOgxXG5FJdS6TrHVInzgvDTCv2ac+Onk4IfIqkFKmMzOcnqenSSBEUC225P5vx7TeO+GS95a1lwy+8dsTPPDjjwaJhZSpeO25wUbBoGiY/ktLEvvPEJKm1YbVcYkzOoN7uB7zydG7ik8ue5D1WwbPdnjR5xgSPNxd8fLVlWUjmVWIzjBzXeYNKac3GOX7zRy957+KSv/fZBR/eTJyVFucD613HVTshcdwtC46rhpOqAiF4cLrAVobPbtYsGs3FdmQ3OpJMlKuIMpogBC8fremvO1IYmC9L/sN/8RswSP7Gxy94/9WakYi0AUbPFByzWvNgUaN1yYs+q5ubbsOEA5lQCoQIpCSYYh5uvM+ZzygEY+uYhsj6Ysf+ZmBse05WdyhN5N1v/hwPf/pLrF5f8aVv/gzf+ta3ObtbMm5vc+6sqIhjhEmynFcoDS62DG5NZAdmQ7Q7Qtzgxg3ReRQ5AQDAwW4YwhfJNYWKEhMNEouRBYEuExF9HjIUEhVqopSMMs9BJkkkJTJVeahTEZ983msMgZhTbgRMVgJlxCWQMeJSBpSQEiHm86s2GnTuiosJtKwO9QcZgkIoDj5JnXN5CXQs0SlTNvO6mmEnUVoiGp2Gw88bIXkkOxRglYRkqMqSk5hYqAJkruq6njwhBoQ0aKVJuiL4nk0I7IlMo8/1CLqAqLEqUErD0igWVpFSosJSSJErFoqSV4Pjt5/cctEOzIrAveWMmUxMQtCNLZNLqJQotWVpJbrUzA4UzKYskSqx95HejSSh6KeJ9Ri46FoiCSMEy8pQ1PVhex12fuRi1yNcVqKXMtCkRBpzprgqLErPCJOkHSfcNEKaOK41vY98Oq554jreffOcftdjrODucsmPPnmOixqiQ5FQWlM1lmna8Ou/9V2eP3qKmhSv1Xc5Xs3o/URjCuazBiV/vIKAP+gagX8cNeUfqwWmlP4C8BcAZvfO0uKtY/onLZ8/u6GuoPOC15olHseTJzdYa2iKwOQkRZPYXne8+fXX+fjDV4zXG06WDWMv8M7zrZ/9KW7XLbLP/0CnWqH2lvT6gudPd3z/5gWPvrtDlvDw/hHvP/qU02rGcmGYfMSJIx7fTLxWzKiPJFddoB72tJtLvDbMti84sxVDqhj7xCbteFjNaMqClzHQFZ79s1uO5pGPL0bGraZZCnbdBi8GHh6v8FXDdz/8jEWIvPn6Kc8fXdCPjrt378I4oo4a7p40bELk4uU1i3mk0x6/7/gk9tw7nbH3mtvrjrfGRJo1bLoONZVIO2MMjtZLtruBk7JCFYpjP9HJAWdKmATPr27QtaXYthir2LnEalFzM/SUSVLaEl2VLLTgVatI3qNlQsWB4CXS1yTrcYNA6NxjhjB44dB13vUqk8BGSTiacXHdZipSmmilhyTRtqCZWdq+RXpFobOVxpPQswZdRLb9iGgDRkS+8+wJ87rhXlXReM/cKi6nCb08YT51DK7nclAUJZwWFbPljGZesomSKknee/yI/+5Xf4jEcVyvmAlLPy+wi4HP//x/wSpJHn36Gf/Tr/2AX3z/Q3pZclIYqkJxMmvYo8kVoDueXDg2nSdpgdYF0zAyBkeVFP2w4//6aMN53fDOnWOUnoiq4GK350FRcq9eYo4qwnZALJesXltQlQovNC9+5RFCJxg2WZVKESqVP0paZZVsCiDOwG9yhkxpCFmpyqLektyTFvP9+5gHtf14IGUZcJs8YIkIFfn2sc/ZuyBAlhk/KgdIgYRBjEMmWKYhP7dUYDxIgVAFadxBEqSoQfZgZ+C6Q25O5ILVlIPfiDmkG4gluA7hIzQNiGW2ULU7kigQZZ2H1kGASqQ05Of4orlHy6w8KpNXTJmIXYtQEmEk0SRkmpNcjxAuq59R0QXB22dLPl+vGYTmfNYw+WxIUWh2yrAWoKJjPgk2JB6sahqluO0GrmPOWqyaGWVR0vsRKQVHAqRs6InEKeGkZbWcMZmW/XZCWMHY9sSmhEFT6MRlP6FEYFnVbPrAQivmOvGs72g0iBiYFQU1JV2M3O571ARrkaiqrCA+vrmlqg21ENiyxLWOy27DyXJJZRTeJrSWrKeRubbsYoKgcnfVsCNGgd4ajIgY1XBkJfeX58RTz+PLLbLvCFXJZxcb3vvwH3FyuuA/+VP/Ai+Gjr/3o2dsp8QYR8ZomClotOStO2e8Wu9ZTwP3qzlWebbxnz75+J/i8ROtkc3dkySVZLgc6fuR8nSGSAWXH7zALixaScxyiWkcAsOw7Zm2uVNNJxgnR31W424n9AzEqcQIzdXlnotnV/T1nNfeOKHzIylI+nWOHsjCMKsVm21PmDxWQ1LZAnWuZzSzwCsnGbYdRiZiUTB6l085a4GPAl06knOUusTUGojs2myFUkVisarAB4JU+VQ3s/SD5+L5nlllWRQNsRLcXN2wKir0mwtms4KbbUv/aoNdWtw+UoqafTtS2CFn7pxnP06EfuJLD0/56vk5qnCEGKi1gGnkah3oY8LaGbY0EEduOw/txCQ7xrrhaG7Y9BAINDPDKTX95LgZJ+7Oat49O+HhqePv/OA57xw1fOvOEedHiV9/8ooXNwOrKlBIw/FsRtd7BgfbTctrx8eEcaSyij6OpFHw9eWKel6ycY7vX18xBEtTVmy84rSY0ZwYRgEfXe2QY8RUMATFSWERjeXJzS1/+bu/xUwbfv7N+1y6I0bnudpsUSnwsFF4r/A+YHziqDacVRXvP17zStyiSs2rp6+QtqQsPTEVaKlIjFhgUWj+1n/27/P6+SnPP/yYX/7RM/7ib/wmn273OSOdPFOYMHXNl2cFD5ZLAoKXw8jF+ppn19vcJSg00U0IpbBSImLCu0QSnqIq0EoileTy4gZbWJQUSJ37vrb7iV3X8GvvfZ/lB4a7pyfYQiNV4uTBkro2pJQR+lJphnHgkw8/57WHxxwfPUTZw2VvjAj5xYdPkVIGejx69BndpkcuNMdHd4mjZ+g3dG6kMHdALwgMqCjzxYrUGFkSXKY/SiaczIRtAOdzJ1u0lhghOomLuQsgwyrGLKW4EiMXBO9Bylw4DjgiBQpLgowAACAASURBVBFFZESixgxdkfJQSaAihC86BzU+tWhKJAUj7aFAocQfSNMylMjoD0pdhMkTjc2kTPlF6XhFiJ6Ng8oKrDasnWcKHiNqhA7cDj0pJVZFyT4EKhVJosEkRxCGeTXHuQkXHEPf0yeVe1DxzLUmd6sLVIo4P9HGRO8cVigeXb0kKMu8gjfuLPgTq4q//9EVN85RWHA+ZHDYGKiSxArFw6MVILnctvTJsFSaHRBDx25SnNczHJ4xaEbXUxqB8FP+9VWJx/tLZtWSRVGgUCxHzcVuT2Fz96rUkX0fsUpy0yb0fsPbzQrTlXy8ucHeW/Dmm3d5OD/mk+fPKY3m9vaSn3rnj/CV177MxfWa25sdm31i3XVUdsbxUUVVwofPXmJQXI8DtQ/4FH6sxeQnHeBeCSHupZReHOwfF4fbnwIPf8/9HgDPf78niyFSCIN+/Yh4OeLGHhdWdKPDKY+dBLbJQIbBQykyrODouOH11464vAyoNDCbVeypaG9usccrNBPSTrzYt7yuJW+cHlFpz+UL0Knk3YdLPnh2i4pZPn5xteN62PL3leKtpmS7T9yOkTeOj1BJ8GwnMcIRihnCFNyNkRcrSzNZnElchjVrJhrdcP7aEZ9+/wUqjqhkcJPgfKY4PT9nuar4/LZljuSNh+e8+84d3KMdNy8viFFhaoUkoBWcJEtoGm77lughWcu9+ZxxCqBaKCOrck5xyBM9bSfuLRqmsCNuR1QqEUNHO45oD82i5PnOszSGplG8bmueD4laC4pasl6vWTZzdps9UztweqTp+4rT5FkHjXeRKhRsp44hSUIvOKklLYYygUKyGQYWWrOXoIlYo5mAo9mMaZqIwlCEDHMYxhEtNCppjMrWv6Dy7kzYDThRYGOiDxPeJ45nlquuY7ubePt4TiMdS1Pg3Z6UEhqJsYpZodBJoaqCThier2/54MJRCc/doxnWZJtPOzlGU/Cv/XOvc/foHs8++L/5q7/6ff7a+x/jASMVMWiMlHxwc0NdFyxqePqqZfSeZDQi5d+LVpZAwsWEmlcULvBiv8NcC75xPmcMgmI246kP9Ns9ykiKswUyKLQqkMohnEeWgjSKDPBgzOCQEDPaVmZQDIVG6EQaJEw+F1eTYJyy3XCcsu0xiTw8aZuHnjTCGMEeVDCRDtk0k0u1ZTgoZxnNjy2z9SRF8JokNcgxWz+jydCUMmQgyRAgqTwI+myzpHLZiunT7+bmpEaIROpvDnZJgagKGBIgIHb59csqD3XBgczKghDx8HNwWHlt7hULDnz3uz+rjKQgEShEEKQw5qG01OAmsLCYVaQ+cGc259P1nrbtWa1qtILLtmdZKArvSdPALkqiKPh003FSFpzbghe7Lhey2sR6v0MKSfARrxOzAsTk6FVkPp/Rti2GyOK44tXVhiFG+u2e+pDffGAs+ymTzTSRIAUueIzWbLuBslBEoXJOYwocm5qTc8vVrmfbe86bgkBi56AF7mpPWStKWZJCZB8GqrIiiUBTKtp+pEkWCkOtFLGLJDdRS0lTaqbomFziZr1HS8llt8eUBtqJLgS+fLzi0brl0k0sy4J/5Stv8n5V8SuffEwKkbVInMsZtYwsS8l1VBwtG6Z+QofxJ1x2/lAdf6BrpAAWZ0va2xFdWnRShDgilMUNCbMU+HWPqRQxjaQQGXct1apClgW4xORGRCGwwrIf9ggpaLeeupxx9/78UJStcFOf20SkQqXIbgOVgcFLehcpdUkab6hmBbtxixtcRjscsqhaG5z3pCgohKF1DqUMySSUUMxqSze1jCJgdYFLWWku8FSFZRzh9qbFbfc4NadY1nTrDQ/vnLBYljx5vuH6xlHgUZXC+UBlJMpqkpnwYyKkghAHTIrMTMWdoyWzGjonsUrSJUsgELVkiWIy8GrwxDRiCCSjCIPgqKxZFdmCtpkSVloaLVBSMgTBOHa0Mqs0b92v+MHnl3QpcnS65I8/vMuH5YaPXt0gROD0ZM6nr64xwnPSHNFtWo6WGRgz7APeCj652vHlqPjG/SXPtWU/jUzBcTHsiZOn0omvn57TLSe+93JNivniHin56qJiVig+fXXFhOc7n7/gvPO8ftrgkkSkAH4ieUGjDckKSqH4jcsNt2kkasvmYo13HlsnfB9IcSIGRXIBl+DP/Mlv8vrJCc9/+CHfffKCX/70CT+6umYiMbqJVV0z02XOSWnJVfBs+p7rvuf5TcsYMz1RKkmQIMKU7fACtJZooZkbw6wx9FHx7OqWdrsl+sDr3/gqKQqeffgUNxyK2i2cn5xmxS5CGiUp5TiAFOCGHYUtOTotOFod5yg1Id9HKEgJISSJDOFSheL87JT97AVH84eYsgQSpGNu1muuX90ShwopPaGwxKAJeEYvMTpbNIO04AeClGRsVe6nC55syZMqVxoAKkaCLMBr0HBIdJHhYxYO9Ennc4ZNaYvTU1akY0n+bh74AiGra0ojXc655aSGI6IJxhz64yRSRlwaUEEjzRfvU+acvSx+h5nWFOB8wqdEpSwlkRgjOzcysxkksvYjCke/11CVfAF5uW73nNcSZQzGJ5QL3AyORlV0LpMhx+QYvEceIEihG9CLGZcuYXxP146QAstZzYPjBbN2x7Pdnr6PpKrAJ8d+lBwXFmk83nv2nSNNIyhFXeQ96N1ugjTSGIkIEqsMynuU1fRiRFJSagMktBJ4PxJCYNz3yDogRcL5SOw9q6MGlxLLkwV2XvP28ox/vij4b3/9N/nG2Rm1svzsV7/K9x+/4PHVE/63v/0eP/W1DX/qT/zLeWOn3UBX4EJP2wvW11tOZxV3m4qXLTy6vuHHbXf7SQe4/xX4d4H/8vD1r/+e2/8jIcRfBX4O2HxhI/n9jnXfM9ewujNj6AuG3cCkC2wpOFpU9MYwDBOFHBGpAlMyk5LutYpUnOK2HW/cr7h2ieubgWGzZuoGJDNSlMyERrYtu7VgSJG7J5KfuXeXzcueqdmxWhTU2jB+ukOFyJ/+I1/i2brlO5+94sntGj84yuA5PmroJ0WRHMkYRh+op0g3Dlz0PWfzFc/3I2N3xRg8YQpYmXAuYO6V3L93wibmMPJcaVIp2HhF6Df0LtK3W07vFNgw8fTjK5yE+aygkApflxgBq7lmqGe0NxtWMvL1e0tODXw2QlknyrijC+AKTUEFaE6SwlcSTc+pSKy0ZUyROyEgT2oudh1nEbwuEFpQLksGN7JAUBxDM5Qse3h6u6HvE/P5nG0MNMEhRUGTEg7PfhwRh5OjTROk7P/WMWE0iJRohcCZEhMHknHshnxdbUtw0WJkPqnuNz1GR6KySO8IxtL2ebjYTiNPdwWKgruVRHvHQKKcL5hVmgbJat7gVOJHNy1hDKxqxdsnp+zFFW6M+M2O9W7Pv/Gz7/Dn/thP49e3/De//B5/8Ts/RFcljSiYW8HFzcSUHIvTgrdWC1IKdO4GIQQFMOmAahNa5tyE1IHoBCpJqnnN9eTokyCRsEOiaWpi25JUdgDqMqG9o6oafLvH3DVMN5DUHMSEsCUMLhdVKw8BZvfP8PuRYYzoZUnY9RkmIiP06UCYFNkPEjwUDrDZOmlsDtWYOUxd3omb8lBDKvKA40MmPbo+++ptA7h8JTkkYAdynlW6LwY2SR7sxgRqzOpbuwNV5oFsmrJVMzqSPuT2okQUFTAcuurCIZsnSEohvENIRyITShkHSH0GubQDaINQs4M1E3IQPIGIJGlJUoJ3CB3yUMcXQ6uiCLBOEzIqvnTnlIvbNS9udtxZ1DRFiZ0cd2aGy62k1zBNe47tgn1wpMFxtJrh2kgsIpSRrot4P1Bqy0Ir9gputh2TmBCTx6ScNqikQAiF855pclzebrh3tmSmLK/GjojgYtdRyZwjk0pQWEk/DlR1yaux5aRUOc9mFZWSuCnw6GpLUVWc1gXBZVBMoxNaWSYEnXMoaZDJ45zg0nUoUXCsNCsrGZs5Y5JoAmOAlbV004DrI8tlQyUN633HVT/xcOFZ1or//b0P+Oabd3l9seTd104IJH710ROslmAShYI784rLduC2H3HjRF02P+Gy84fq+ANeIwXT2KLKCuKIDANpCpSFwqeIloYQDAyBycMULSb0GCNy0XBlidGRmBimxL7zDL5jfqyROvcmiSmAcIcwvqJQAYFCBkFRz7CF53rT0e/WGKPpGVmPiRQFUwy4KLACQhAEL7EqoWpJcglbaGqt0UmxbfMmjNAFLkYKWdITaaeR7eSZzRrG6ChmBe1uYL/eU9eGmODF5ZoXz7ec31tS2BqM4LZ3GO3Z7zrGyWOEwI8DMTnqWcH9puGrb54jZURogxs93RBAV5zPbc7l7TpkDBhbIVVCSYnSPS8Gx0+fzXlhPVooSILKaPACJyNdiDSyQBtBnRzj/Ybvf37Nt23B1+7VfPVkzocvcxbm/iT56vEpXbdh7CeuU0APjiFFpii5a0suw8CTbkt5JSksPNv2yKTxjBht2TjPi73jtLDcXy755PkNjQEvFT+8GThSgNT4qHHe0754wRTPuLMoSMFgVGJuC1xI1FqyHj2b1IMt2FzvmWJgRFCIQFEXOKcZNz3aaKpa8Z/+mT8K0fP+42f8le99xqe7HdoWtNsdtrBUpeS8LIgp0EnJvp/Y9IFXl7fEJHKJsnc0xUS0hn7INkoXABSlzAP8MA0smpLNq2sgUd57jYsX2Uqq1AzHNbKoUdrRuRFlShSSofUIWQECN/ZIkYcmP+0RQiKkIoTchalEAglJJMRhR1CIwHzR0MzeQmp1GAYzUOzs9IymKHj8+DNcMATnKJkjsbndh+kLFgjyiz42AGyG9DARpc2bmfLALZGS6C0GiZxglD0hHpwl8LvrqpYU0QIQokRJkXNy0R+6yyPRtRh58G3GgNcWd4giSO1RLuaKgAJcPLhzksw2vwTKS4IuMnUzmFzDkAxlGuhjQoTATEmufUTIREoChKdC5/3lUjMx5mFUeJoyF8pLGQhCUFjNLGZFMqSAFpHkI5oCK7KVsWkW+BBw08QQDfPK8HjTsmsnfu6dByxKOFsVfPJqz+Qcviq57QasqfIAKD3r7S11M6fSks5FVtZSINiPA2CYRkc9qwmTxU8TWgcSimUhKCpLNwVEzNcNy3lD8omYRs6bJWVtefd0wXeuLngxRJZa8fDN+9y9k4jfk/xgfYP0jq/eXfLz37zH6klF1+/56NETnl//Nf7NP/5NlAmcWAvGcrvvQSpOTMnjzTXLak5dLflxJ7jfd4ATQvwV4F8CToUQT4H/nLwo/Y9CiH8PeAz824e7/x/AnwY+BjrgF3+cNyGVYFkLKlFwO3RUesaAY7GoUSawWe/RJ5L750eMBylZ9ZGXTzfEJvLmouG5t7y6njg+L9nJyNXtiNGwmOBmSqynFn29ZH3TM/mJbTHwtz58wh99+yF3tgWjz2Ho8d4RhSn5ZAx82LYZlSoqBmPYuw27MfBaabBNQaUNrt9ybArWscHoCy52O277lv0IIfVIWyKF5MFJQ5w8n724QTeJc+sQb9/h4xd7rraPOG4UTmalqZQlR6ZhKDpqqbF64rSqSDcdd2zBO+f3kLXkU6uZLgNBlqwtzJWiLhQmCpaNJyRPSh6LxNmC7dSyjJGThWE97El+xsvg+Upp2BXQ94HXFys+ub2hWihKWzBOgqaN9KVGicDrasbUjOxcHhJcyNQkGTPSOsVARDKGvOD50hADxBSoQlZVbIJh6GAYKIuSkEK2A2iJdECMeDdhrGYaE0Zn6xcadmuHloKq1GzCyMc3I/bujFnVoHWBkpoVkTdOaiYBf/vZmsvdyM+cVfz82/f4xt0zNirw6csbqqj4hW+8wS/+q/86Zb3iz//l/4W/9N5vIUPgJCpEZdlOHUpHkjGIPvJcd1xeb5G1ofSBNkS8E1ghwCaUU0hliClhRAIXSUryycstXz5bEXXPOHp8CJj6mDitif5wUpNzxn0ipYRIjlRKpKqJg0TVcOfBiuVyzvOXLe9+6Q6b9Z6LmWIcIru9J035xI0pDnh9nRU3FTPpMWpYnh1UsJDvqxfgUla9egf0+TH6JOfxcplNHrYyYTgPbSHCuIN6nk/YHJSyA8wSyrybp8pcZyBD/t405OcYp6zW2cNru5iHSlJ2eFYa4UOmcfkEajpcYB467XJTa35/4xd/zxkVdIBUILREEBFWERGI4El+QMiClBylLTi2iZtdz9h77jYFL7pE2/cs5nPafYfyWTG0QTKFQCQwN5L1GLBT5O7ScLWfUNaSQkciUMtse+1DAiLBjYwB3OgooyRqhZaSMRzgIark6a7HKk+QkoVVlGKGC4nr7Tp/lpRmriPOTUit0GhGDzGO1Bg2LnI2b5BScWI1UkKfIiKOrJBUwrBzLW30TGOkkgopJLWHqjLs+x4jNUok2iEH8JOVzKo50XqkEpSmABeYuj2fb/dcty2nzZLvPv6M/d37fOv8lG8/OOH9zx9zXBZ0Q89lcpSqYGkU17cbDEXu0vtn6PgnsUamFOlbT2EcUSV675CmJDJgksIHg0qOoC0qOqo40mNJDgYxIZOhbI4Z9hcMfUtZVFgrcSqhlQdqfNqilDkw1jNcQ2tDlIqx3SNEoqlrOt+i0LT7PSll2JBwHsaBqbbMlSAJQQwSLRV1YbC6oUiBXbdDJI02ikILOpeYppEUPGOSXL/csJ55pA+s7qxYuy2zoqBcLbju9txe7vDek1BsvMBPE1VlGEdPO3nG3Q4kvHl2xv3zU9bt8P+w96axtqVpfd/vnda0pzPee+58q6q7qqt6bhq6EabjMNgYsAEZIyxH8AGFKMEZFcUgpMiW4kghcmxFiQA7ccBOMCQGYuSYCAtwwOk0dBdd1V3VNd26devWHc+0zx7X8E75sHY1paaGpruqzjnW+klbe++1t87+n+ectZ79vu/z/h+KNEVDawXvG+rYMOy1fbpsjER8W1aZZizrCiklPmtddY2b8uye5vxGDtqRiIwqOJY6kHmBSHtYGcltYOYFG70RH31Pzu7hjEGS0kTL+y6s8cTLY164O+aDO+tc3lnji7tjilQyPlySmIRCSyZVu0enqj3P7i/oy0ja04CmXEiqyoOAm7M58yblUpFwSwYaqzASKl9jreLhc2s8e3Pc9seU8MrdPUZhgyJPUFEglKXQKbfKmtuNp3Ga5aLEh9bQIys00gW0iSitKM6OCLbBV4715Cxf/MKz/PIzd7h+OEUnKc5ZnE450+9xNSsooyBLFYeHS47qmsPFjNqDNilCSPJMMShysjxnuljQ1DWp99QuUIbWrVcLQdNM+cgnPsRRXTNfwuzOPvVkTF6M6J3bJtgFo60h0TmiC1TBcfvuARfOb7OcLthaH5GkksRkJM4glaZpauqqpNcbgTI0VQkioBUoIxABhFrtxY5+NSnYTijja7Ki4IEH34dzNZNqxvR2hez1wYFdLjCJbFsJ0PapCzHiqcn6PTICtj5sV6dJUXodkHgiMgg8CsKgbfVDAgh80hZAysZh0bzaQtOEsl1FAywa76q2h59sG4Vb2WqQ6HbQKNq1OukagtagBijcygwF2hYMqv09Vnv/HICwlLrtZecrzzJkVCKSC8GisuSpAS0IdSTRramKD4FhJllLDQRBagQbQ8V8UVIkglGaMncWF0ELSaIEZbBo44nK4ELbBF3LiI6OYWI4qjyvjBc8uDFCOsvHr67z5I273FnMSHTKeqZxwLyCvcMZ/WGfQ6sYGsOkivQSyJMB82ZJIgQRybCnOKw92HbvnxXgXcXUgWsaAtCjnah5aHiZhzcGTNySo9JyWRVIk/Iffuu/TWMq/q/PP05CZEf3eN/mBfr5Duc3LvHABy7xX/+dv8UHHnuEl+7s8fO/+tt88v2PcnnYQ2HZXh+yN244mFcYGSitYzjQr19o/zq85QAuxvhX3+Clb3+d90bgJ766j/5jZKI5szXAWUFeJKwVCcttmJYLtrY3eH62pHllzNbVAfeTtuGumy24cf8WVSPY30xJhnnrDmnPEKOnlwYu9jYYJhp3N7AUig+vjTgqS47KhvcM1nlg0AfVp9R7vHd7xHuc4pd254RMMV3UzOZgo2Mrz5g2Y6TUxIXnqDCYEHlld0wvicxMxsxNWdhIKRS9wYDRuuDoYI6Vin5f0i/A+5wXXx7T1HMubOZsnjPE5ZyiN2Tt3IAHjeHmS/ss96csz4GLjkRqZo3gTCJ54OyQq8M1Rqng/efOIzGMq332fIVcOC6kKaUTSJ+y2ZMsas1moXE2QbuGcz0DXmOtpolL+tGSyMiNiWMrX2dRVBzOKtb6I8roCcuSUQKLoJBOQWrZTHLoJ+SLOZNlis8i8yYwX5aoqNA+UKSK3KSI0OAjOCFXlXoBpQpy22C0wyd9audJU4HErb7/t02eVaKZLxakRtAQEJVc9aoU6IEi62WIKJnVJTfmFd+8vYEMmr4LTL1nb+EZpJFXJmN83fD03JPcX2Kqu3ywV3DgxnzyY+/hr33nd5CIhINnnuDnP/1HCAfSRBqjGeYpy7nl3FaBFYGjeeCgnlPXJTpLWeKJQWN8RKqIj5FoHUk/oVpWuDJglSDLUnbrGnM445ELW6TGEWrYPLdFrTW199imZHx7jLMLJBqVZyT9FB8UYX+KKVJ8KZFDRX9dcGk05IPnL/Obn3uK6d49onOt0+PCQhDEQiKihhiJmQABolFtUkpSqKdQWchMO6hSgFcrY5Ree2UQi5VzpG3bGCDaNgKqnclCJUBsv/Bp3fZtEymrUXhrPOKb1Spfm+S+XLIZ/MoTf/Ueo1qjlkq0q2VN1q7mqbCaUZ23g8AmtHvwaNqVQV+2RjAhIEKbcIXVbXuBWCHkykTFBqLSbXsBmUGoCM6yOephS89+ZVGJ5FwBt+aCxLUTBa6OmERjVETLlLlzEAWpF0xdiasd61qgJExNuyofqZgKTeUr5tZjbMQbQ0gjTjiSEJnhEWmCrx2JcuzNPYNCkATB5nZCXS+ZNQKfCbQzSJOQakkjAwOt2V3WnBnkRJEyWSxpQmCnn+IFeGeZB0lUnv0Seus53jeUvnXV0j1DIVXbt90FDo7mBKlQtSdPm3byr7EsSUnS1j5bVJEDV9F4yyBt3U2NoF2t9xlP3dhForg4SPiG91zkpdv3qRtP2WhiHtnoZUwrS6EUQvybtQfu3ciRMUKUEk+NkgneOXQiiF6jhcTH1io8QbR9gb1ERMdiIYjWkmSOMhp8I0kSTVOvvrA2kJmCsikROiVG8L6kcYIsNzgRkNHjQmzLNWuLNoq+0cyqgEkCwQlyZagSjwoCs/q/0hKoJIWRiDQwG89bh8yBpqkqlo2jrgOxbM+9ECxZmjA+OGRzo8/RYoERnp3tLWqlmJaCwaiH1Y7F4Yx8LUULTV3VSKUYbgzwUpL5hl4UfMf7rnJvucAeliytA6Go3WpfoILaR+5PxmRJH7RiWU0YpAOUMSxsRaoFLiT4XHBjb8GFjaJdZVh4RomgXjRQO6RQLINE6XYib5gb3Ebk5njCuZ7k42fPoLTkc88dcFg6Lg/6fPzsWZ47mjAVNUsXqZqAdZaqXmKMYlZbJkQ21JAHNwuCsCxcg/Ot79NaKvDC0etpZvMaX3pGgz61gKtZxsFmzt5hjcbhg+XZgyM+fnGTmY+opWMcLXvzCpGkzGfzdpV/LUVpg2scuczRzvLo+oB/73s/yMJ4Gg+f/uwX+fuf/hLPT47QRqEElDWc3dQURrJvLWtpykbR41uGA/7bx5+j9BIpBU1jSRPDsJey2Us4l2v2dcZRJZnNa6qmQuiICg4BuCBJezm5Ddw93CdZ77Fxfo2eNigtaSqNZ0au++ADqelxeOcFDl65DXVkvHmZnYsZo2FOhkF6cLXn2rM3uXDxKnkv4+bRIdObN3n4Aw+zPuohCcjUoPKMGGy7AufDytZdAJGkUCS0LYL88g77u7fJhwmXr+5wOLnNxvAKXgTSVQ/YKMAYg1JtQ20fAtPFnLuv7OLNECFyLBG0I9gG48BHhxIJXr7aey5gcQSn28EUgM3ayVktv2xIYkNr04/UqAA5adv2gABoTOKoRQOhj6Xd8mKcbAdhlPigkRpsaDChXTFPtMCEyEK2Bl7bKTSxLYm/PzsiSw0qAR8jLlQombCRGopewr1JzbYVlApQge08oQ7QF20P2P2ZQ6U1AkvtTdvqJ0b6eY7xkcZbkrohVwnP39+nmpec21xndznm8tkexURxb27Ji4wYQKIo0SzHMwbrAyZ1oNAJtW3oq4axC1ghKZqKIDLWlKGUmmlsmDUSv1oRVsZgbWCUGbSHC+uGua+wQTHIcq6M1pmWc/7w+pc4uz1ClYK/ePEh+tmA91/Z4YGHvwnRWyPGMY9eOc+zN26xNkzJ5YAvPvMi3/SXfwAqz81711EpFDFr2zUEj68rEv3VzXK+3SYmXxNGCnTeR44C1eGUl/anJLKgCobFK4fs3jniYprjdB/hHWl1QK1TNs+usX+wZP9+Sb/2+GrJswcVvY0eeuH5oUd3+H/8gixYYi1YX8/41OYVqnLJtWnNxqjgqdu32dosePlwziwaglMMiyHbLuILw0yf5e7REWVouHphm7v3xtBUPL8/xVWCQGAri9Tato58WpMqy7hsuHplh8nREdqk1GXFrJzhXcNGr08pFYfTmiSNvOfKJrYu6QvNhZ0M9AYNS7RrGI0MeTaiTiznihFbwx49CZ+5tUuzaOhLz6xu2MgT6tJxITd4pVEIMm8phUEKRW9N0UtTjmYNcRI4pwy3y4piTTNVgnndsFkU5JuB/bsN5DmHsmZROzbWCnb3GkY6J2hDFI58kFLWJZkN1C5gEHghyXqGxtp22V5orK+ohcZaRyISpGtIZVs6F2XT2lWbFBEUqfBILCEGQpoipcI7AVLgokBbi0nlqs4bekaTpwVL25bEiWqBTQxTY7g7PmA2W1IezUlNTlPCZ168xe8feZSTTAAAIABJREFU7lNNJH/luz7MD/357yVRQw6e+Rw/9/ufIfiS4VqfkBiS2rIoj9gYFXzq4QvcOjjg8+Uhi9IRIqS+bQiqEEjnIRdkSjBxgTBpyxq0BoxYmURGXjqakmvDzpphI8s4eOVma10cLHUTEaoh207wzQBnFiR9w+ygwvQV3kv2Dg85agKJNjz14i5KHlIMVGsvrxXButYNMRfofoEvG+grVJLCwuOxiCJrBzNLCyptV75kaE1AolyVYUZQBtGUq15sCuKqfDKWYIt2n5ldtOUgQrWDOLGaOWz7jbYrfbVYNRRf7a3zof2ZK3vl1s5Yt+WVKodm3k7/ydZiG2lWjclXq2thAXbVBF37tua+DG1j8ExD7Ym1J9btBnlvBTQW0ctWbRBWjXekop8Y5vWcYtRnoCuasnVtTYxhOSvRadvfLpPgCWitWFMeG6CRgixItPeUSYaOkmAjRimmjaWKNYlRKA+mSNHSMBvX6LSiGQ3JyoYmVKR5Rl17nGjafexSc2N/QiEFRa9A+wiJIImWSAI+spml7E0mTJ1kqDU6S9iUCYu6beLsSEhkgAaqlfug9x4fFSoKUhdp8oDxCeuZYL6sEVGRpXAwqTk7zBAm47BeknpF6jwuzxBYotN4J0i0YyfJqRYVD6xvIM4oHn/xZV4Y5Hzo/BmuXDjD/RfuUGNRIWKiYs2kkKQU6b9ZbQTeLQrVI6oGgUIjMLROs0JqUhwhanSq8CiSVFEfzqlqhwoabTTeNszHDVlRIF2Jj5Bkmqg9mTaERuJDhUhykrAkxogSGuEj0qTtQn2wSN1+sQzOYhEkJsFHiRCaREXCqiFxKRXR1wyTnKOqolZgZI0XgijkyjnW0StS6iCYT2dIAb2eaT972a422yBxviEBZKFIkgTVBJpgiYkhzB0NbbXDY5e2uHRmk8QGXIycyfq4nYQytPtmh6km+MCkdvi2loe6Ltu9pboALVl6i3CaqYfNNUUWBLqfcftoyYfODZnQuvHNE8+kCYToWS8khwuHSjVBJWypiM8XTKqMCxY+uXUGIxRP31/yW9fu89ELWywbwXrWoxc9L1uPZElqMoSM5D1PYyNH1ZK7MwhKcqXfo5Hw0itj9mVbklYIQ5m0l2zrAlFbPnNzyc56zvkHRzx/f5dm6dA6cm0y49Ko4O7UMbGBJEsQ0WKtQ0VDhmZ5YHF1w9a64NLGJv/VD3ycC+//ROsSuneLH/21X+Wl8QyvBUpAbQNKS9432EAi2F82eAR3JiX/4o9usMgbkrTAi4YQPdJHHulvtPkqSjaSnJ7S3HWBo6rBOU+aGarSYoPn2RuvMLl5DyEk2dYWvUFBYtrecWmvIFIQveVoOqFZHFBcOc/yVjuheTjbZfyc5urODuevPND+Dl4h4hqvvHBI7eeoLKV//kFu7x3QOMt60YeqJoYK6yuMSZBRkg2G1IsJyghkbK9fisCFi1cZ9O8x6g85++H3MHh2DVfX7fYFIUhFgpABIV1bDaJSQvAk+SaDfMDBZMG961PS3gDvl615CxJL0rYQqNt2EogUqyE4i8EQZA5GEYJHopDOgQ7Y0LQO0lJB8IQgUKEtmQxJ2rZWsBYll5jV138voV2GsivH6gaJxAPbo5zJsmSQKNI8obdo96sZwGswKkMQMRhKazEmo/QwrjWlrwhCsVdXNFEig2K+tGgRWE8ylIgMh5qqqvCk5Fowc54URa4U3gcUkSa2+1aFcFyfzZg0lgv9PraRXNlY47Ack0WBRXJQT1FRgFaEqm4NcFRgpDTeC6R0RN8O4o6qGi1NWwEkwWpNpiSpkEjpODPqU9cOJQ23D4+og+Jsr8/GWooUikvpGdzE8vLiNjuDlI9cfZR5veCx938zorcGcYE/usbOxQtsrq3x/M27lDjWN0dkvYT07BkezATX79ygbEt0mNaWoN2q7cRbI+JXu1vuHaTY2Yof+Xe/h4PFnAuDTUwUTI+WnFGGp28ecjCb8aFHz/L973+QtfU1fu/emIeywFNVhaTh+s0lQUvWt0ZE66iPLHXpSDOHGo3YUpFECrYTxQMbI5wSfO7+Ljduzxl7yyc3Rnz4ymWeO9rlS68c4haBH/kz76ewln99Z8rBdIpWGT3tqWPDYRTY5ZJMSuaiosjOUsUFvVThgicTkttHlqpcYl3NbFIyyAesnynYP5yxFgyZDOw3AZFqZF0z2jyD7qfcfOkOSjguXzhDTCQbWcqZPGfuA5u5JZWae0c1WYQmeIZIrm6vM25qNtI+QWqGRjHxnto19ENkY7vA+Ei51DSqphYaY9v9DZNkAbYhVJG5afdTDDLD7f2aKz1NLSx7S9BKMm4afBnROiB1ZJT3+FfXb1FWkdItoAw0DpS3JEVGqgNpvgZYYmMpXWs+IwuJqz2ZGqATx3i2JF1dFG3tiU2DTzQ9mSDSBAwspnNEAK08lpwiCwzyrDVeKPqsryUkSZ9qVvPy7JA8h3uvzBjvRwabCQ9cGHAw89y/f8jjP/uTXNl+kGc//Xv8D595gicODzmaLOlpw1BpateQDXPOaM3ZQcbCBZbe088Uu8slt/ZK7s8dNlQgBDrJUWVJUy/JVIpMBI2PhDxFKvClxy8dItEIUWMaycPr2/zu9T/Ezh2i8kRbkQ1SNs6fIxAoy7b2vd5d4GqPHipMWlBNx7hqgQgpvgwoKdGjnNQIVEgoqQmlxJZ7cOiJIkUPIL96hhAsWq9T1kuYLUBaisGIzMB8IYjKkScF25sDCh14/A9vtqVRMiK0QPUkzkOczNtm32oASdtDSmCgdETlEbZe7aHLwc9b05S01w7ovIeiWPkf63awx2rPnRDQXxmUpH1oHDFaBKEdQNamLbuUVTv4VGpltAJCSYLXiGBAN0QhEK5eNflWrVOnSdr9fcqBzPnrP/H9zGqBZU5sPNIprDCMfc10VjGrK9b6pp1ldh4TDWmxsmBHkeYpwdWEpiaqjEsbQ6pZxWzZYBTcX5YM8wQZIo2TWANb2jCpS6qyIuv32JtWVDZQVSVNE+mvZ0Ql6UsN0aJFynBgaCpHlkicd/hgyHRkmCsOZwGTZLx3s8cLRyVaQSwtS1ux1svJ84TGVug0YUT7ZUJHy2HjGSQ5IYm42kKUpNowSgwxl0wWFRu6h4+OeWV5cHudalFTC0WSQe6BJOXFvQMmtWVoFAvn2OqlHC0rvvGRy/R0xiv393j61pjateW159f69JOUv/ef/szjMcaPH1/WOV0U5zbjR37se1ASZsuaWHqMzpAals63e88iDHo5zjnKRUmSJ0gr8MGCkZh+HyMF490DpE7ITVv+FE0kLiwxSnQqKEPEELE+EKIhVg1FliG0oqpaU4GeMkxnU0ajnLkXuMoSo0MKTW99gLMeoRQiNpSlQ2BI04D1kUGeUdUllQ2UZcS7SCYCNjgWs4ogBKO1IXbeut8WW32qpm1NUc4WBDQuOLQQVLVlUyc89oErnB/krOkUGwMgaXzNelKQacG4skhhKeuANIp5HdBGcX9yRC8RjPJ1vPVtGZNULJYOUygUgk/sFBxUls1Bzp1yQXVk2VzrUQVHdG3PKbRk2tQ0TY32BnLwjccow/1Z2ZZVJ+Cj5YVJzb39Ax7Z2qJIU2SMBGHYW9xj4SW2btuULCpPlic427CR9tkYpmxKwUGouDdZMg2g60iaekyao5Wi9A3nBpvM65KPDtb51osDvljN+Z0bu+zvHbKoA/21PjIEdu8ecTiriEGR5prBeo9EekQT+a2f/itcvPwI2IT61m3+zz94mt+6fo0byyWFUvSV4m7tsDjODwoeGY24MylZuoZ5teTevOazf+Mn+NTf/VkOlWIxKVFRsl70uDLMGeSGnokgJU/eO+TgaIETCTF6fKwwSpKYhGr3iCq2/TzrqSPNFXuv3MSoBLDowRCpNCosuHz5PFHCvaOSg5sHqLSH9xaF4fx5zb3be5CtM9zoI6XmYP+IZu8eQsLw3Dr9gSHUS3Z2ruCcZe6haiw6Kg7uvcJD73kvlbekKpJlBTEKpssx66Mz1MsFL16/xmh0FpUmnDu71q7geZDaIGRbsGLrGrt0CJXgfKAOgee+cBPhI5cfu8Kwl/LCMy8R9BYy1Hzg/TscTHe5fe0G2xc2KauGqhzgrWsrcoB82JZSExOkSgjB4/0RyqwMTaRCuQxiwIv23FA4fCJBJm2jcNo5UUm7rw5dgAz8xW99H+t5D+8b7s8qpIikSUqoHGiJMpqjqsZZ2oGcdgxkgpcKFx0f39lmGgJP3dpHy0C7nijRApxveOjsFtW8wrlAaS0L26BEQkOkacrWcEVLJpVDJRIlIlVsSwz7CjZSwyM7W7xnZ4NAyh+9+DL/+qWbpHkB1uJ8wAVIZWCzKCijo7TQTzW+cdQh0FdQYVg0JY62QilIKJTiTFrQF+32qrU05dGNszx4bpsf+Es/AgRiOGQxv0+9jGxsX0WoBMSAGPe59synuXP/CEVka7jOIx/7NohjfvFXfonaBvYPj/jL3/Nv8ciDH4SQsDi8wfV792kq+OF/5z/i2gsvv2Uh5YlYgYtExjNPJgyV86RrOed7Z3j55T3G1QIvFVeLNUap4f5yyQPDFOUjB9MZa03D5jDnzqzk3t0ZF3qCJE1ROuKaJWdzaELKRi44PyywAp68U3KnbLg/XXB5tMaLhyWfv/1FcuVYICliwmefv8f6ALKioJh4ympC02sd5Fye8NjakHlIyHs11SSiCoNTkr1787bp6bJk6TRx6RkmhvUzI+q6Ynx/yaUrm9RVaN02F47LO0OCn+L1GsWWhkaxYxKyfsYgSTmztcXh7JB7U4/zFUVI2Bhqlj7lshTUNfSKAXkh0Umfu7v3oZcSoqbyAVlJ1vt9Klvjo0VGy3jp2egJnIM1nVFngqihqmseNDn984bru0vWCJw1CddmRxS9PjaBWDl8iLw8n7EzTLldL5EhgSxiLDQ2EOJq1cxZUJIQ27IwJQV5LydNLdiSTOSYvE89niC0wCatc1IuA1JafGXRTpAnhirWaDPELedQtaWZNnjK/Skm36Ce7TM+aqCfoNPI6MoWsdnnmz92FYGHZM63f+Axrmw/ynNP/n/8/Kc/xzPjJVlQbPcz8jyhHFc4mbK1PmJdCZpYYa3gvVt9kkST6oTx0uPnFdLVWKeRqx5fMQRCJklXDTxt2VrWJwRiFiCBaDN8Jnnm6IhMj9C9GU7WqDBCSMP6yLC3u8AuLSFGysMDZNpnVIyoXc1o0EdsbrB/VCKaPUI2JJiG81cvkqcF48M5492KZq9sSyjVEtY2ELrCNIIsa4gyYl1GOfUYvaA3OkucjXFVRY3m3q17XD2/TtpPCF4QnOTSg+fYXEu5vbdkd3GdYAJmow8iII2kmdbIXkCYiG9UWwIZVi6Z6LZxtwDMykQktHexriDVUIiVqYkDMqjLdhFPm7YPXWjLH9s6WtGWV6JASmI5RWQaqTXRzSBmbTlnmrbtCIjtNKMr23JKr6GsqBcVo0GfWweRxjkKlRAN9DTcGTuKUUItU8qDQ84Me6g0Z1ov6WUJy8YirURpQ5oFyqZm0izICs18UePrQCoVQeTMlvuEIMAJ6iInTTRVqVgsHBLPwCjqqt34XjWBvo6MbdtDSUiHUQqRKZZNgy8taZ6CCxxNG/KsoNfLmDmP8IGlcOhUE62gdA7fQGg8oalQfclQCtAZBZa5AxNByxTvPUfzKXVquNjbYKMYUM0XaKMZFTmTacV6XtCzNYfBM7dwNsnxEgaDhDWRcv9wn8P9kkuDAZ/90k0eeuAsW5trfExonrx1m8PSMmss0XYrcH9ahBCoIKlrj7CQpikgKJu6LfWLEmPafWkJkoDCxMjUOpJUYKTBzj1RRhKVEnygxJOmkKqUxkR0oJ0ssYBMSJRnNqvo9QoaEmjmeAdIway0BC8xIaUvPFYJLGbVSF4zKSv6efsFNvhIP5csQiQXgXlZo7Vq22BqR1VWOCdw0VLWNVplhOBBm9aPiEDeN9hZyWISMamgWCuY3D+kEJpHHnuAS+sDsugxWqKEpraBVLXFZrOqJgUcglQJooQ8kcybyLDXxyvf7lnONJPGEhqH0wLh2tY1Q7mG7xv25o6eHqCKKdu54e6ixjpHKVPSKBCyNekoo6UIKY1qY10kC16aLdgKhqsbKfPSMs0znp/NMJMZH9zegGA5n6/zwvyIaR1Js9YR1Lt2cmVvPkXLdR69mHM2XeP8cMi1+ZTxkWdRzVCu5IHRkA+fXefZ/QYZLTNfMWHAN22sk7nIP7hzgNKKygqqec2kAtMz7YT3zLG9tYGKC3SquPTQR4lNJOzv838/8QS//uxzLGpBIxW+tlTKgYKdTLOpBYtFhZANvUyCLDhjDJ/6mV+gVDnDfsIgTdndO6K2c2rVw/hAkJLcgzAZtVq07pTa0PjQNq2XgX6qkU2Nc6BzidIKk2Yk2+v0dcJ8NiVL2x66iZSIpCARC0S0nNnZoJyXpGkkS+A9D51nslTsvnKfdH2dfpFhL5xBak0/lYyKgqboM6tLQNFPM2bzKYia9z78IEvbcO2LL6BzgykS/JFD5JJwdcCLTz4HDub794i+xpjHSDVIIbh+6zrNUcnDH3wvWkmuv7yLmwUuPHweIQLJWg+Z57z8zAsk2+cJfoQ92ifd6BF8xbntdbZGPbJigK1rbr9yFyfXufPU88iixyNXd5gvl8gouX/vJqONnLxYY7Z/n4kvETZFpB7lDAUaGx1WAM105QLdQ+iAb1ybX2UCocE7SYZiv5zROCA6lNCUDnLdTmw2TU1PC2RPoTBMZzOM0cyXNZ7AkweHrJkCLwUqBITROGdZHxSEKmLwbJ8bkaQZh5MZ06XDxch4Mic1fRCepQ/oBBZlwyCVZIkDDM63JkI2RPJhn1BaPvzQDmXT8MzeAVEqkuja8lEZ8crj0WSxBmGISrBsLHPnWTOCdZOCCEykxLqSoFMeHgzIUsNyf8yibPiub3yMSZMRaYjlPQKGxTyy1d9G6E0Aor/BtRtP8OKtKet9SeI8SDjce47bt1/k4XM7/Pqnn+Tq2SH/5Dd+h2/5xkO+85PfRm/jEty4if9yue5bcyIGcBKQi4qzZ4YsFhCjZXexZHe6wAbDMBUc6sBcp1B6ZssJI1lwSeZsn1ln0FN89sYd9soKKfsUIXBnvqASBRxN2Rn1kSHjoeEGe7MjbLOkagyjUY9Rv2Cnp7k/r1hUNWFRI5KU9cRz7U7JzoZs9yLVktJ6XhjPmd+o2PpYjzNnc2ZLweXzKTcWNUezinLu2N2fIDLDucsj7ixnLKqAH1cMMsHaWkG+VrC/t8RlivKwZNo0DEaKQQiEZEA/C1zdGjAVlg9fWuPO3pR6YclEIOqUQmRsFAl6ZvH5iES1lufRQdXU9HRbUz8AxKhg4QTzac2sntPIQBJhkATyJOWMdBRSsqcSjPNkOew3jlFqVk53FdKVyCxD1LBVCJZFxt68Zn9SYYiMBoYFgn50MByyP4/MQ7u53YdIohQhlujUEJxH+4iKrX30slwiIqhE47xHxUCIsHSWPB1SyprMKnprA7yL6LLC5AmVEygXmVtLIgV19Nw7mOGl4fxQEapAWAa2+j02qoYxlh/7xKP80Ld9Nze+9Hn+9q/9C16oShKV0LgGOy9RIeXM5oiBVGwbTeIDtyvFQ2d6OO8YVzVHywYP9AeGxTIlqWpCrJHeoGQkCsPCN2QSah8IwRCziAuq3egrHWnaZykFWd1AluPW1sl0wJQZ43HJ4iDQlEuMApPkqGFK1cwJlSQ/t8Pm2oCQ7LFfLlCLhnxnyIcvnWNn2OP/ffk6s8qj19bxkyXCC8KRZVE61GidPPE0UwcikPclGEFTVSgZcNqQEPFFztP3j8h6Alc7nBSUy0PuVxprBcONLRYxUvQiOjZ42yNd01iTEgWIssEfTglGkW5uEVSGXcwQVkHtoGyQoz5KOpoyIhIJ0oGr26bgPrYGJTK0/d9Eumo+6mjrSPL2otEsQaYIaYhegfBADcEgpGhX9YiQrIxNnG1X9moF8YhRf8huXbLRy9ibRY6qEl8F8sSwnrfNzWvrSPojDqlJFjPwglljSZUg+BpSTRMDtoHDo7ZEU2UC10CucpbWkecF0UcWtWV/tsTKtiSkcpZFE0g0JEagWO0f8hYnJE1dkQ1ypvOaXKfEmLS93OtVeafUGBlQvmRqBanyLBcVUmrWBwnOJlR1yShNKUNk2di2XUVd0Y8CrzVlEyikYxEsYyk5HzXl0rE9ylkGS40k+oDKUxostbIoH9HCUJULtrKc+4djFvkSHQJ1ZRknJU0d+L0v3eIjl87w/p01HrKbHN0+5MZ+zUAujzHbnE5EjCyr1hQhUTnO1yRZgrGWxGikFIS6xvqASBNcXdM0Chk8Pvbae2ERNqCEoPYRfI1eJDS6xEvFrK5Zz9uS+2ygaJaWQii8b1rnUt+2CnDeEULEiHbCT6iAR9HPNfuLEtHMEHWDSnKcTOnnnrJZYGtHSVvqJ4NmfZQym1Us5w06SqSIrK2vEbTH2RqlNEIqxntLRhsFyARTBMrlkl5VsNEfsj1IsVVDIsC035OYVQ4lA5WrmYdAJjS1W2JU2pZPx8gyRCoBAxWoHWRZhRdJW2oW2gkmrQNBD5FG0feWKvE01rNV9Hn+/pyzw5x9vyCJkoW2UIMxGUkqaWpPriLj+QRlEs4PBHvTBeOpZJTlfMd7+/zm03dorOP2pObiesrSe2wI5HlrDNZzgXSQM55ZQnBUoeT+1JAKzzIIet5wr1rQeE0hPfPSUogdrm4ecW6whagjl/o9FnhmtcA7gUjBVUtCDBRrBkgosgTlIO951ntDvvvRq8TGE+7f4ve/8DS/fe0OtyYLxpVDKJDS0E817zs7IkMRZOS5wyOG2jDQmoFUjHLFZw/3OVxWJHPFxStn2NweMdmbYH2DTRK8s0wrTxIEg2JIOZ8hUa2jKgFnI7LeZ723jpA5jY1MphVCgdIznFMYppwZ7VBkO9TTCTNKpocLhHcEa0l9yTDJGBi4cvlRXnj+RV6eHGG958KDFzBmiI8eW05pGk0TZphsi2pZs3f/Lp5APsyJwVOVDWl/jc3zW9y/dh0lDaOtDe7u3yHb2kDkBWuDhPHsiBtPPUcyKhhu77C4OYYAzzz5HP3LF1kcpYTpLnf2anbW2ibYoZySjBLCcoYdz0EUKNkgpcBkCdK0RY3ZWs5Zd57xMoBOCc7x4njKe7fWaeySD37kMZJCESPUoz5Iwe7hPsP+JuPpjMNX9knSAikTgkiRr+5TD0k78SnBt01BMFIytx5LwKHp6QQp2kkR14BKGrROWFpLUjmkCGwkPeoQaahRDhZlwng2JlURKxQJkirAeL4kSignloeUY5RYiszgnWu9MLaGoCK2qjmqaiaLKUYZLB6EQVYLci3ROuPW7oSLZydcGPXZXToeu7TN1ijjt5++RRCRLEKQisPS0ssVjYNURZzUGJNRVQtKXeNcuxVFyXYPXHSRceM5oyMfOrvN0aLkn33uswySlE989CEIKePJIdujbWTvPAAx7vOl61/g3kt75ElKv7fDqL/kqeu32D+aIoWglppLmxvcvLfLuY0Bf/DZJ2jmJd/z576fxx56hC++9OxXvU/8RJRQCiFmwHPHreOrZAvYP24RXwWnRSecHq2nRSecHq2nRSecHq2nQeeVGOP2cYs4LXQ58h2h0/n2c1q0nhadcHq0nhadcPK1flX58USswAHPnZb9EEKIz50GradFJ5weradFJ5weradFJ5weradFZ8efii5Hvs10Ot9+TovW06ITTo/W06ITTpfWN6PbjNDR0dHR0dHR0dHR0XFK6AZwHR0dHR0dHR0dHR0dp4STMoD7+8ct4E/BadF6WnTC6dF6WnTC6dF6WnTC6dF6WnR2fPWcpr/padHa6Xz7OS1aT4tOOD1aT4tOOF1a35ATYWLS0dHR0dHR0dHR0dHR8daclBW4jo6Ojo6Ojo6Ojo6OjregG8B1dHR0dHR0dHR0dHScEo59ACeE+C4hxHNCiGtCiJ88bj2vRQhxQwjxRSHEE0KIz62ObQgh/qUQ4oXV/foxafuHQohdIcRTrzn2utpEy3+/ivEXhBAfOwFa/6YQ4vYqtk8IIb77Na/91Errc0KIP/8u6rwkhPhdIcQzQoinhRD/8er4iYrrm+g8iTHNhBB/KIR4cqX1b62OPyCE+INVTH9FCJGsjqer59dWr189Zp2/IIR46TUx/cjq+HGfU0oI8XkhxD9fPT9R8ex4++hy5Nes7VTkyC4/vqtaT1RcT0t+fAutXY48LmKMx3YDFPAi8CCQAE8Cjx2npq/QdwPY+opjPwP85OrxTwL/zTFp+xTwMeCpt9IGfDfwm4AAPgn8wQnQ+jeB//x13vvY6v8gBR5Y/X+od0nnOeBjq8cD4PmVnhMV1zfReRJjKoD+6rEB/mAVq/8d+OHV8Z8D/v3V4/8A+LnV4x8GfuWYdf4C8IOv8/7jPqf+M+CXgH++en6i4tnd3ra/c5cjv3ZtpyJHvoHOk3gtPxX58S20nqi4vkneOXHX8zfR+gt0OfJYbse9AvdNwLUY4/UYYwP8MvB9x6zprfg+4BdXj38R+P7jEBFj/D3g8CsOv5G27wP+UWz5DLAmhDj37ih9Q61vxPcBvxxjrGOMLwHXaP9P3nFijHdjjH+0ejwDngEucMLi+iY634jjjGmMMc5XT83qFoFvA/7p6vhXxvTVWP9T4NuFEOIYdb4Rx3ZOCSEuAt8D/E+r54ITFs+Ot40uR36NnJYc2eXHd1XrG3EscT0t+fEttL4RXY58hznuAdwF4JXXPL/Fm59k7zYR+C0hxONCiB9fHTsbY7wL7UUCOHNs6v4kb6TtpMb5r6+W1v+h+OMymxOhdbWM/lHaWaYTG9ev0AknMKarUoYngF3gX9LObh7FGN3r6Pmy1tXrE2DzOHTGGF+N6d9exfSnGaCIAAAgAElEQVTvCiHSr9S54t2M6d8D/gsgrJ5vcgLj2fG2cOzXmLegy5HvHCfuWv4qpyU/wsnPkaclP76e1i5HHi/HPYB7vVHuSepr8C0xxo8BfwH4CSHEp45b0NfISYzzzwIPAR8B7gJ/Z3X82LUKIfrArwL/SYxx+mZvfZ1j75rW19F5ImMaY/Qxxo8AF2lnNR99Ez3HpvUrdQohPgD8FPA+4BuBDeBvHKdOIcT3Arsxxsdfe/hNtBz7+dTxdXHS/35djnxnOJHXcjg9+RFOR448LfkRuhx50jjuAdwt4NJrnl8E7hyTlj9BjPHO6n4X+HXak+v+q8vAq/vd41P4J3gjbScuzjHG+6uLQQD+AX9crnCsWoUQhvaC/7/FGH9tdfjExfX1dJ7UmL5KjPEI+Fe09fBrQgj9Onq+rHX1+oivvrzo7db5XatSnBhjrIH/heOP6bcAf0kIcYO2nO7baGcbT2w8O74uTsS5+0Z0OfKd4aRey09LfnwjrSc1rittpyI/QpcjTwrHPYD7LPDelTtMQruB8DeOWRMAQoieEGLw6mPgzwFP0er70dXbfhT4Z8ej8HV5I22/AfzIyhXok8Dk1ZKH4+IraqF/gDa20Gr94ZUz0APAe4E/fJc0CeB/Bp6JMf53r3npRMX1jXSe0JhuCyHWVo9z4Dto9yP8LvCDq7d9ZUxfjfUPAr8TY3w3Zu1eT+ezr/liImhr5l8b03f9bx9j/KkY48UY41Xa6+XvxBj/Gicsnh1vG12OfHs5UdfyN+KEXstPRX58M60nLa6nJT++idYuRx4n8ZhdVGidap6nrfv96ePW8xpdD9K6Ej0JPP2qNtra2N8GXljdbxyTvn9CWwJgaWcQfuyNtNEuEf+Pqxh/Efj4CdD6j1davkB7Ap17zft/eqX1OeAvvIs6/wzt0vkXgCdWt+8+aXF9E50nMaYfAj6/0vQU8F+ujj9ImyCvAf8HkK6OZ6vn11avP3jMOn9nFdOngP+VP3bhOtZzaqXhz/LHDlsnKp7d7W39O3c58mvTdypy5BvoPInX8lORH99C64mK65vknRN3PX8TrV2OPKabWP0CHR0dHR0dHR0dHR0dHSec4y6h7Ojo6Ojo6Ojo6Ojo6Pgq6QZwHR0dHR0dHR0dHR0dp4RuANfR0dHR0dHR0dHR0XFK6AZwHR0dHR0dHR0dHR0dp4R3ZAAnhPguIcRzQohrQoiffCc+o6Ojo6Oj4zTS5ciOjo6Ojq+Ht92FUgihaC2Pv5PWEvezwF+NMX7pbf2gjo6Ojo6OU0aXIzs6Ojo6vl7eiRW4bwKuxRivxxgb2k7o3/cOfE5HR0dHR8dpo8uRHR0dHR1fF/od+JkXgFde8/wW8ImvfJMQ4seBH189/YZ3QMfXzTd8w7sr6/HHH39XP6+jo6PjmNiPMW4ft4hj4k+dI7Ms+4Ysy0iShF6vB0AIASFE29BVCEIIKKW+fO+9J8uy/5+99w6O+77vvF/bey/ALvqiNxIEwQaJEkmZFGmrmCq2Fdt3vktyti+6OJe5mZxv4tiTOGfHSRwnvsk5jsdKLGXicxLZlkRVWhSLSIIFhSQAEnVRdxfY3vs+f/h+34nmuXvsZOzLPQneMxwCILj721/9fL7v8kGlUlEoFCgWixQKBXK5HHK5nGw2K15PqVSK19Lr9RiNRmQyGePj4+h0OvR6PblcjnK5THd3NwqFgqmpKXp7e1Gr1chkMqanpymVSuzatYtyuYxKpWJiYoKBgQFmZmaQy+X09/dz7949enp6KBQKKJVK8XuDg4MoFApu377NwMAA1WqVWq3G9PQ0crkcmUyGXC6nXC7T19dHPB6nVCphs9kol8tks1lkMhmxWIxCoUBbWxtqtZp4PE4+n0cmk2GxWFCpVOKzVioVAPL5PNVqlWKxiEwmQyaTkcvlaGpqYnl5mVqtRi6Xo6+vj3v37iGTyVCr1fT29jIxMYFcLqe7u5tSqYRGoyGbzaJUKsVxUCqVyOVyarUa2WwWrVaLQqFAoVBQKpVQqVRUKhUqlYr4+eTkJHK5HJVKRbVaRa1WUyqV6O/v59atWygUCsrlMgBDQ0PIZDJu3rwp3md4eJjx8XEAhoeHmZiYQKvVis+uVCrRaDREo1EqlQqDg4PkcjnUarXYHrVaLc7HUqnEwsIC7e3tTE9Po1arqdVqVKtVsR8BBgcHxWfO5XLi3KvVauh0OvG6fr+f5uZmNjY26OrqIpvNUi6XiUajGAwGcTwLhQIymQyz2UylUhHngUwmo1wuU6lUxHZoNBpxjlSrVeRyuXQtUSwW3/O9QqF4z75Qq9ViO81mM4uLi5hMJnEOSed1qVRCLpejVqsZHx9Ho9FQq9XQaDTvufak98hkMgBif/X19ZHP51GpVOJ8ka7nWq0mjv3g4CByuZyJiQn27t3L+Pg4MpmMoaEh5ufnxetXq1XK5bLYL/l8XhyvwcFBcX+4desWg4ODFItFKpWK2B+VSgW5XC6+L5VKFAoFGhsb2dzcJJ/P43Q60Wq1pFIpyuWyNCSbSqVCuVxGLpfT0NBAqVQilUqJfaHRaNDpdJTLZcrlMsVikWq1CiCOoXTu/P3rUfr/0u9Kx1ilUgGI61SlUqFQKMS2a7Vaca3K5XKUSiWVSgWVSiW+lt4jl8sBYDQaCYfDdHR0MDExgcFgoFAoYDQaUalU1Go10uk0hUKBWq3G7t27mZycpLe3V3wOuVzO7du333NNa7VagPdcp3//Xq3RaCiVSgCoVCqKxSLFYpHdu3czOztLPp+X/W+fIP8TP48G7n/1pv8vnWatVvsm8E0AmUz2f+U08Rs3bvwffT+Z7Ccerx3sYAc7+OeAlX/qDfgnxD/4GalSqWonT57EYDBw8OBBSqUSCoUCr9dLoVAglUphMpnY2tqiVCpht9spFAo8+OCDFItFSqUSOp0Ot9tNKpWiUCjQ39/P4cOHCQaDrK+v4/f7+cpXvoLT6eShhx7CbDbT2tpKPB6nr6+PbDZLMBhke3sbAK/XSzKZJJPJUF9fj8vlIplMolarSaVSomnJ5/PYbDYaGxtJp9MEAgEuX75MNBrl/e9/P0NDQwQCAcrlMk6nk9bWVq5fv87CwgI6nY6enh6USiWzs7P09fWxe/duXnnlFcrlMisrKzQ2NopGAaBQKDA2NsZrr73Gyy+/jNlsJhKJMDc3x9DQEMVikaamJi5fvsz58+eJx+PE43HS6TRqtRq5XI7JZOLs2bO89tprfOMb32BxcZHDhw8zMDDAK6+8wlNPPUUoFMJut7O5ucnU1BQej4czZ87Q3NyM0+nk7bffpqmpSTR5+Xye/v5+Ghsbeeedd9i/fz8tLS1MTEwwNzeHTCbj6NGj3Lp1C5vNxh/+4R/yyCOP8O677zI6Okoul8NkMrG6ukqxWGRubg65XM7KygrpdBqTyYRCoSCVStHY2IhCoeDmzZucOHGCpaUlYrEYRqORpqYmcWxzuRzNzc0kEgkmJiZQq9U4HA4ymQx2u53m5maWlpZwu91YLBYikQgHDx4kHo8TCAQ4fPgwAG+//TaHDh1Co9Hwt3/7t6jVatra2lAqlXzrW99ieXkZjUZDc3MzQ0NDoikZGxvj5ZdfZvfu3Xzta18TzdDf/u3fsnfvXl588UXGxsbQ6/VYLBYKhQKxWAyn00kqlSIQCBCPx1GpVOj1evr6+rDZbIRCIdRqNVtbW+LaGBsbQ6PRYLPZRLNQLBax2WycPHkSrVbL9PQ0jz/+OE6nk89+9rN8+tOf5hvf+AaTk5OcO3eOq1ev0tnZSaVSwev1ioJepVKh1WrRarUkEglWVlY4dOgQkUiEt956i56eHtLpNBcuXKCuro62tjZmZmbIZDKk02mxr1KplDgGMzMz9PX10dHRwezsLIVCAYfDwY0bN7j//vtRqVSMj4/T0NCAWq3m6tWrNDY2MjAwgEKhoLm5mZGREe7evcvq6ipf+9rXmJqa4r//9//O2NgYN2/eRCaTkUgkMJlMzM3NUV9fz8bGBj09PXz+85/nwoULvPvuu/zH//gfmZqaYmlpCY/Hg8PhwGq1srS0xOuvv86BAwfQarWiee/o6GD//v0Eg0EcDgdf/vKXCQQCbGxsEAwGUSqVeDweFAoF0WiURCJBJpMRDZnRaCQajVIulwmHw6KRNhgM5HI5SqWSuNccOnSIxcVFisUi9fX1FItF1tfX+cVf/EWy2SzHjh0jEomgUCj49re/jdVqRaFQ4HK5OHnyJCqVSizAmEwmJiYmcDqddHV1cfz4cZaWllheXkYul7O4uEggEMBut3Pjxg3C4TArKys0NDQgl8upq6sDftxgSo1uoVDAYrHgcDjQ6XRsbW1htVrJ5/OYTCasVivlcplIJEIikeDZZ59lenr6p3uQ/Bw8cIeAL9RqtYf/5/efBajVal/6//g//1c2cD/rffOTsNPA7WAHO/gXgpu1Wm3kn3oj/inwj3lGmkym2he+8AVqtRoHDx6kUCigUCjweDyk02nkcjk6nU4wDNlsVqwKazQaCoUCNpuNvXv38tBDD/Hkk09SKpUIhUJ873vf4/d+7/e4ffs2L7zwAo2NjdTV1dHb28szzzzDb/3WbzE9Pc2LL77I008/zerqKn/zN3/DN7/5TS5fvozD4RDMXT6fF4xGqVRiamoKg8HA448/ztLSEtVqFb/fz/T0NIlEgrq6Ovr6+nA4HAwPD7O4uIjZbObGjRu0traSSCQwGAx0dnaiUCgA8Pv9PPfcc/zqr/4qY2Nj3HfffahUKoxGI/39/eRyOQ4fPswv/uIv4vf7SafTZLNZrFYrAOVymYWFBTY3NykWi6IxUavVWK1W1Go10WiUxcVF/u2//bd87Wtf43Of+xy1Wo1QKMTXv/51enp6ePPNNykUCvzn//yfyWazjI6OUi6XuXv3Ls3NzcTjcSYnJ/n4xz+O2Wwmk8nwwx/+ELfbzYc//GHsdjuXLl1idXVVNOUvv/wyJ0+e5OjRoywtLbG5uYnD4cDn8yGTyVhZWREMUyaTYXV1FY1G857CU2KjpPOgrq5OMFWFQgGfz8etW7dob29nY2ODp59+mvr6ejweD2tra0QiEUwmE+3t7aytrZHL5XC73YJxXVtbw2azkU6nmZ+fJxQKodfrGR0dZWtri2AwSC6X49ixY3g8HjY2Nvjc5z6HQqFgaGiIZ599lscee4zvfve7LCwsoNfr+dCHPsTi4iItLS0oFArq6+u5ceMGf/d3f8enPvUpKpUKBw8eRKPRsLKygsViARDbYLPZePDBB2lqaiKTyZDP51lZWSGRSKDRaEgkEszOznLv3j1WVlbo7u4mFotx5MgR0Zw2NzdTrVb51Kc+hcFgwGq14vf7kcvloik7f/48HR0dgsnt7e1FLpdz7949ent7WV1dxWaz0draikqlwu/309LSIq6zI0eOoNPpePPNN4nH43R0dNDW1kZzczM3btygra2NZDJJX18fZ86cYd++fWg0Gnw+H/l8XpzPDzzwADabjWQyyblz58jlcoJtk5jNfD7PU089JfbT3Nwc3/3ud7l48SLnzp1je3ubSqVCW1sblUqFcDgs2GOz2cyv/dqvMT8/z6VLl9i9eze1Wk00Mu9///tZWlrizJkzhEIhIpEI6XSa7u5ufuu3fguPxyPuAblcjlAoRCaTIZlMYjAYcLlchMNhVCoVarWaQCBAOp0mFovhcDiIRCLiHqfVajGZTMTjcTQaDV6vl1KpxPb2NqlUilwux927d1lbW2NlZYVarUZrayvt7e2CeS8Wi9y7d4+nnnqK/v5+FAoFra2tWK1WCoUC+/fvx2azYbPZGB4eFotJcrmcubk58vk8S0tL+Hw+PB4PoVCIlZUVNjc338P6F4tF/H4/Xq8XnU5HS0sL6+vrpFIp0Sjr9Xo8Hg+JRAKz2YzRaCQWi4lFqv/6X/8r3//+97l9+/ZPbAh+Hh6460CnTCZrk8lkauAjwEs/h/f5Z4Wd5m0HO9jBDv5F4B/8jNTpdJhMJoxGI16vF5PJJCQ6kjTLaDSSTCZRKpUolUpRhPf09GA2m3E6nUI+mEqlMBgM3L59m5s3b1IoFDCbzdjtdiHjcjgcZLNZnnvuOWKxGIcPHyYSiaDVamlqakKtVnPw4EHR9Gg0GsxmM42Njayvr6PRaDh+/Dj79++nqakJm82Gx+Nh//79uN1u9u/fzzPPPCNYBrVajdvtJhgMolAoiMfjKBQKgsGgaFJGRkaIRCJkMhm6u7vp7u7m+PHjqFQqrFYrWq2W/fv3Y7FYuHLlCpOTk2QyGarVKtlsllAoRDQaJRwO43Q6qVQqorErFosYDAby+Tw6nQ6dTofP5yOTyQhW7otf/CL19fUEAgG2trb42Mc+hlqt5pVXXuH69et897vfxWw2Mzo6Sk9PDz09PTz22GNsb29z48YNfvM3f5PR0VHq6uro6enhyJEj7Nu3j1OnTtHW1sZjjz3G0NAQpVIJpVIp2IJQKEQgEMDpdCKTydjc3BT/rtFoiMVidHd309DQgNfrxeFw4PF4aGhoQCaTEQ6HKRaLmM1mNjc30ev1rKys4Ha72djYEAzgvn37OH78OMvLy9y8eRObzUYulyORSLBv3z7m5ubo7+/HYrFgNpvZv38/+/fvF+yr1WpFLpdz6tQp2tvbyeVyGI1Gfv3Xf52jR49y5MgRHn30Ufbt28cjjzzCZz/7WT7xiU+wtLSERqMhHo+j1+tF4SsxXY2NjahUKhKJBC6Xi6amJjQaDffu3UMul2M0GgUznM/nmZubo1gs0t7eLrapVCqh1+tpbW2lsbGR++67j/7+fuLxOE8//TQf//jH8Xg8QjIbCASQyWTMzc1x+fJlstksXq8XjUYjWKRUKkUymaRUKpHNZjEajWSzWRQKBel0mkqlIhZYRkZGhITZarUyMjJCNpulUqkQi8Ww2+3k83l8Ph/Xrl0TjLdKpcLj8eB2u/H5fJw6dYpwOCwkrXK5nL6+PsEyu91u1tfXqVarzMzMkEwmCYVCFItFTCYTuVyOYrEo7hOZTAaz2SwWCrxeLx6Ph0gkQiAQQK/XYzAYSCQSLCwsEI1GuXXrFrVajZaWFv6+tHvPnj1EIhFsNhuZTEbITaXGOZPJEIvFiEajeDwerFYrKpUKm82GWq3GZrNhMBiEXLKnpwefz0dDQwO7d++mvb1dNEc+nw+32y3kiXq9Ho1Gg0ajwWKx4HQ6efjhh6lWq2xvb9Pb28vg4CAqlUpINEulEvv27aO7u5v9+/fT29tLJBKhUqmwsbFBPB7HZDKhVCppbW3FaDTi8Xhob2/H4XBgMpnEvSmbzaJSqXC73WIf3rlzh2AwSD6fp1Qqib8l6Wq5XCaXy1GtVvF6vRw4cIBYLPZTk0c/cwllrVYry2SyZ4E3AAXw7Vqt9tPxgTvYwQ52sIMd/DPGP+YZKbEnANvb2yiVSvG1yWQilUpRq9UolUr4/X5UKhXb29v4/X58Ph/FYpFoNIrNZhOr2QsLC7z99ttcu3aN5eVlwUjFYjHu3buHRqOhWCwCEA6HaWtro7Ozk3g8TkNDA9euXePBBx8EftxgBgIBvF4vgUCAhoYG8vk8CoUCn8/H1tYWu3btYnV1FZlMxvve9z727t3Lrl27RGNx7do1wuEwwWCQRCJBf38/d+/exW63Mzc3x2c+8xm2trbY2Njg2LFjPP/881y6dIlAIMDBgwcBaGtrw2q1UqvVuHDhAltbW5jNZgYGBkgmkzidTjY3N/F6vSwtLYm/dTodpVKJra0t4Qn0eDwEg0HOnDmDXC7nT/7kT3jooYdIp9MYDAa+9KUvEQwGmZyc5NlnnxXyQq1Wy0svvURTUxMNDQ1MT09z+vRpPvjBD2I0GvnQhz7E0NAQfr+frq4uTp48ydmzZ1EqlRw5coQrV64IGZpGo8Fut7O2tiYKVclDp9frSaVSVKtVDAYDLS0tFAoFent7icVidHR0iFX/9fV1TCaT8JdJ7E2lUmF6elrso5GREbxeL6dOnWJlZQW9Xs/Q0BCRSASn00ldXR1arZY9e/YwMTFBJpNBJpMxPDzM8vIyMpmMwcFBUqkUoVAIg8FAsVjkwQcf5N69e/zJn/wJ+XxeNJhHjx7lwoULzM7OCj+UwWBgdnaW0dFR/sf/+B+i8YjFYthsNurr67HZbMzPz1OtVlEqlXR2dqJSqdDpdITDYSFfS6VSuFwuZmZm0Gq1uFwusTDQ29uLwWDA4/EIhmV0dJShoSGi0SjFYpHz588zMDBAJBJhfHxcNKTlcplAIEBdXR1Hjx6lUqmQTCYZGxujq6uL1dVVjEYja2trolHp7u7m6tWrDA0NMTo6is/nw2azsWfPHr7+9a9z7Ngx8vk84+PjpFIpTp06xfve9z4qlQqBQIBarSauP4fDQalU4sknn+T111/H7/dz9epVOjo6WF5exmw2k0wmuXXrFiaTCbvdzre+9S3C4TDPPfccGxsbFAoF1Go1uVwOrVYrvHDVapV4PE42mxXMo91u5+bNm8zNzQnvbSKRYHl5mWq1Sjqdxm63k81m6enpoVwuk0wmKRQKbG9vs7m5SaFQECzn1tYWsVgMt9stZJNSEzw/Py+u4eXlZaxWK+l0mqamJuF1zWaz6PV6KpWK8OVlMhl0Op1gXDc2NkgkEly5coWOjg60Wi1Go1E0X1Izura2xp49e0gmk5jNZgqFAuFwGK/XSyQSwWg0YjAYqFQqxONx1tbWUCqVuFwuHA4HU1NTws8ovYfk16yvr8dkMjE/P4/JZEIul4vtc7l+bAEvFAqoVCoymYxgLSUlxU/Cz8MDR61WexV49efx2jvYwQ52sIMd/P8Z/9BnpBRiUSgURECI5OFZW1tDp9Oxvb2NTCYTDIAUTjE+Pk5raysKhUJ4hQ4ePMg777zD3Nwcy8vLLCwskEwmRdBJc3Mz4XCYM2fOcPjwYVHcbWxsYLfb6e/vJ5VK8du//dvMzMzg9XpxuVwUi0UCgQAWi0XIO9PptDDt19XVCUbMarWye/duzp07R7lcxmw2c/fuXTQaDT09PaRSKdrb29HpdJw4cYKHH36YP/qjP0Kn0/HQQw/x3/7bfxOsTFtbGzabDY1Gg8PhIBaLkc1mhZwzlUphsVhYXV0FECEg0naurq6Sy+XQaDRkMhkymYxoJlKpFLFYjIGBAdLpNB6Ph56eHhoaGjh37pxoxqRwCblcTn19vWgK9+3bx8zMDNvb2yQSCdrb20XQSH9/P0tLSygUClF8hsNh8vk89913H06nU3i8qtWq8PxpNBpUKhXd3d3s2bOHra0tNjc3aWhoYG1tDYVCQTKZxOv1IpfL8fl8qNVqYrEYmUyGhYUF1Gq1OA4AU1NTeL1ePvrRj+JwOMjn81QqFdxuNzabjeXlZd73vvcxNTXF9evXaW5uFgW2xCL19vbS3t7OjRs3xIJDe3s7Fy9exO/38/3vf599+/bR29vLr/zKr+ByuQRzJsl+k8mkYP2y2SxvvPEGs7OzdHd3Yzabkclkwq8oyQsNBgMKhYKtrS1aWlqYnJzk9u3bQiIrhcO0tLTgdDpJp9NEo1EsFgsDAwO8/fbbOBwOjh07xoULF8hms/T29jI6Oip8o21tbYItisViYn8nEgn6+vq4du2aYJsl39bQ0BByuRyLxcLdu3cZGRkhHA5z5coVTpw4IcJBJN+h5OuLRqOkUim0Wi3RaJSlpSVmZ2c5deoUx44d46tf/So+n49CoYBGoyGXy9HV1SXYQ7PZLOSziUSChx9+mEAgIBZXFhYWyOfzZLNZnE4niURCML1Wq5VQKCRYf4VCQTabpVgsotVqUSqVzMzMYDAYsNvtGAwGjEYjVquV4eFhdDod+Xye+fl5FhYWyOVy3Llzh4aGBpaWlsjn87S2ttLS0kKxWCSRSLC9vS2CXSQWLpFIoFQqiUajKJVKIYeVGHnp56VSCavVKham1tbW0Ov1RKNRLl++LIKORkZGaGho4MiRIyiVSnw+H/DjgB/pHptMJoEfB5OkUikcDgeFQgGDwSDknnq9nrq6OiKRCLOzs4J9LpVKRKNRGhsbqVQqZLNZcrkcwWAQr9cr9rFWq6Wurk7IVU0mk/jsmUxGLJr9NPi5DPLewQ52sIMd7GAHPxtIiWpKpZJqtUowGBQBDlKxm0wmiUQiVKtVwWRJiXOSv6RUKhEIBKhUKuh0OhoaGoQczGAwCF+I3W5HqVRSLBaJx+NMTU3xN3/zN+TzecxmM4cOHaJcLguGTWomg8EgLpdLvJ5erxcBFIlEQiTASfIvyUO1srLC3NwcSqWShoYGVlZWmJqaYnh4mK6uLh599FF+4zd+g+vXr/PCCy8wMjKC1Wrl8ccfx+fzUVdXJ4orKQHSaDRSX1/PwYMHcTgcqNVq7r//fiKRiPidbDaL3W4nnU7z0ksvcfXqVS5cuMDi4qIoziKRCG1tbdx3330i+S8QCPCjH/0Ip9OJz+fDZDLh8XjYu3cvmUwGk8nExYsXmZyc5JlnnsFqtZLJZHjkkUeoVqu8+uqrqFQq3nnnHS5dukRrayu7d+/m1q1bHD58WCSNSsWnx+OhVqthMBjY3Nwkm80Kn9b29rZI5AwEAiIsoVarCZ+RTCYjFAqJwtpsNqPT6VCpVJjNZgBRYP/whz+kubmZ3t5eHA4HWq2Wzs5OHnjgAdLpNAMDA6jVaubm5jAYDDgcDqLRKBqNhnK5LDxxGxsb1NXVEY1GhX9QaoL/+I//mKamJuRyOXa7nZaWFtbW1jAajXR3d9PY2EgqlWJxcRGlUoler8dqtZJMJkVq6ebmJsPDwzidThoaGrBYLMTjcVZWVsRCRiqVIp/PY7FYsNvt2O12enp6GB4eZnNzk/n5eZaXl/F6vfj9fuHLTCaT70lmHBgYQKfT0dTUhNPppFqt0t3dLRIIz58/L7xe4XAYuVwuZJTSdklJrDabTfhFPR4P4XCYlklkmMkAACAASURBVJYWADweDy0tLdRqNa5fv878/DxTU1MEAgEUCgWbm5usrq4yOjpKfX09lUoFu92O1WpFqVTS3t6O2+1mZmaGVCrFhQsXWF1dZXJykvb2dhYXF5mamqJWq7G2tsbs7CylUolgMEgqlaJSqYiFBoPBQCAQIBKJcOnSJRoaGqivryeRSBCNRikUCjQ0NNDe3k5fXx+dnZ00NzdjsVjw+/0EAgEA8XvNzc3kcjn0er0I7ZBSRqWFo3Q6LZg9SdoJiATLTCaD0WgULBZAKBQS7GyxWEStVgs2LZPJiOAaydM2MTEh3qelpYW2tjbBkkr+V61WK+6lbrdbpKq63W6RLivJxXt6ekQgS2trK3q9nnQ6LUKcJL+mtBCSSqUIh8MYjUbq6urI5/O43W4RzCNd+z/Vc+Fn8GzZwQ52sIMd7GAHPydI0iGTyYTFYqFWqxGJRFhbW3tPtHcikSAcDgs5TiAQENHaNpuNRCKBVqtlcXFRyC2lle3t7W26uro4deoUtVqNpqYm9u3bx7vvvsvk5KRgthKJBDdv3qS5uVmwByaTScTJS9uzvb1NsVgknU6zuLhILBZje3tbxPXH43GRwre2tkY6nUahUDA3N8f169dpaWmhWq1y8OBBxsfHGRsb46WXXiISiSCXy+nt7RVNXz6fJ5lMotfrkclkGI1GbDYbzc3NdHR0YDQayefz3LlzB61Wy8zMDNVqFZVKRTAYRCaTkclkuHbtGqlUir6+PtEwHDhwgEuXLvHmm29SLBbp6urCbDYLX44k4fz+97/P+fPn+YVf+AVR7A4MDPDVr34Vo9GI2+1mbGyMq1ev8sQTT7C+vs709DQ2m00U/ZFIhK6uLtF0+v1+/H4/JpMJt9tNOBxGJpMJCe3ExASpVAq73U5bWxsWi4VwOCz8b2azGb1eTyAQQKVSEYlEGB4epq2tTfiM1tfXkclkWK1WbDYb6+vrrK6u4nA46O7uJpfLEQ6H0ev1rK6uEo1G6e7uFoxFqVSiqalJBK1sbW2JOHTpMyoUCvr6+piZmWFxcZFEIkG5XOaFF17AZrNx6NAhlEql8N4tLS1hMpkoFAr4/X4sFosI6ZmbmxOsxq5du+jq6qJcLrO0tEQ2m2VrawtA+ObGx8epq6vD6XSytrbGjRs3CAaDPPHEE9x///14PB5OnjzJL/3SL1Gr1djY2GBgYEB4llwuF6dPn35PwyaFxywtLREKhWhvbxdhOUajEYvFQl1dHTabjY2NDZLJpAi7SKVSwm8l+aakeHtJilwoFHjggQdwOByMj49z9uxZ0cz8+Z//OWNjYyJlU5Jc+nw+HnzwQWQyGc3NzTgcDhEaIl23Pp+P/fv3UyqVBCs5Pz8vGlaVSkU8HicWi1EsFpmfn2dpaQmHw4HD4WBxcZF4PE59fT2dnZ2EQiFKpRKZTIaTJ09y7Ngx4vE4AFtbWySTSXHuFItFmpubkcvlbG9vixAQySsoJTcCdHV1odPpuH37NqFQiEQiQSKRYH5+nvX1dUKhEAqFgu3tbQYHB+no6KBYLNLQ0IBSqcRsNmMwGHC73TzyyCM88cQTAAwMDIjmqb29ndHRUSEtjkajxGIxIZW02+1Eo1FyuZw49/x+P4ODg6yvryOXy2lqasJkMlEul9mzZw+xWIzl5WW0Wi06nY62tjbq6uqwWq0ijOnQoUMcOHAAo9GI0WhkZGSExsZG9Ho9HR0dIgjqp8HPPIXyH4N/ySmUO+ElO9jBDv4F4l9sCuU/Bjqdrvabv/mbyOVyjh49CiAkRNLMI51OJ9iPSqWCxWIR0qfW1lYhMZT8HHfu3OHWrVuiSZBWvnU6HQCHDh3CZDKxvb1Nf38/5XKZf//v/z2Dg4PCW+b1evn4xz/OxsYG7777rpA3KZVKUfTl83lSqRTpdFp4dwAh9axUKqyurqJSqZidneX48eM0NzfT2tpKb28vMpmM9fV1jh8/TrlcZnZ2lvX1dQAxg85isWCxWIR3REqqGxgYEKmTwWCQdDototLX19cFU3f79m3cbjfxeJzm5mYeffRRXC4Xv/d7v4dSqUSn03Hq1Ckh0bTZbMLj19LSwvT0ND09PTQ1NfHWW2/xwAMPcOrUKc6cOUM2m2VlZYW+vj5Onz6N3+9ndnaWj33sYywtLREOh4X89fjx49y7d48zZ87wyU9+EpfLxfz8PH6/n+7ubtbX10UsvMfjoa2tjUQiIdiMrq4upqenKRaL5HI5LBaLiKmfnZ0VswHNZjNyuZyFhQXhC0skEgwPD9PS0kI4HEar1TI0NITZbCYQCIgCOZvNCpljNpvF4/EIH5MkBwsGg2K8hNPp5JVXXhGyvjt37vDmm2/i9XpZW1ujqamJlZUVvvOd7wiPJvyYjfoP/+E/8Kd/+qfCsyYV9pIs+NixYyiVSs6fPy98a7lcTiRxShJYo9FIpVJheXmZ1tZW7ty5w9DQEKlUiuXlZXK5HHa7nUcffZQPfOAD4ryZnZ0V55SUjig1808//TQulwuDwUCpVBILAtJMLymYo1Ao8PLLL9Pe3s7hw4fZ2NjAaDQSDAZpb2/n9ddfx2Aw0N7eTiaTIRwOY7FYeO211wRjtXv3biqVCtevXycej9PV1cWxY8fEsVxaWhILMWtra8hkMhwOB1tbW3zxi18kFouxurrK7/zO79DW1sYf/MEfMDk5yfXr1wWLNjo6KqTYhUKBz33uc3z1q19lamqKgwcP0tnZySuvvMK5c+cwmUz80i/9kvCMHTt2TIylOH/+PPX19eKeJM0blMlkRCIREZK0vb3N+vo6Pp8Ps9ksGt1wOEx/fz/hcJhqtUosFkOj0QgJsEKhECEkkrRYCpiRmqfe3l6i0ag4RwKBANvb20SjUT7ykY/Q2NgotkOj0byHEZWua6VSKUZXaDQaESgksfatra2USiUikQirq6u8/vrrFItFkYgbjUYxGo1sbm4K2bQUeiIx38lkknK5jNfrJZ/PEwgE6OjokBbN/klSKP/Z4OfdXO00bzvYwQ52sIOfBGk4reQZCQQCzM/Ps7KyQrlcplAoCCZJp9PhcrlE0eR0OoUUrqmpCbfbLYIxJNaqs7OTuro6+vv7MRgM1NfX4/f7yWazItSgqamJO3fu8MYbb6BWq0VU+De/+U0h1dPpdFy+fJl8Pi9ivsPhMFarVUiR0um0iNU2GAzI5XLcbjdmsxmr1cpLL73ED3/4Q5RKJT/4wQ94/vnn+fKXv8yNGzd44403iMfjbG9vi+CVaDRKtVoVMkmJOXC5XCICX/L3xONx7t27h0qloq+vT+zfXC5HPp+nra2NI0eOYDAY+OM//mPW19eFfFCa+WSxWPjDP/xDxsbGBPNoMpl48MEHicVijI6OEggE+PKXv0w4HObOnTsi+OH8+fMoFAoRKrG6usrjjz/Ok08+icVi4fLly+zbt4+RkREuXryITCajt7cXp9PJ5OQkfr+fzs5Ompqa0Ov1xGIxVCoVIyMjYhB6Pp+nvr5e+Ps8Ho8YEm0ymWhqahKMpcvlYn19XUSvFwoFrl+/jkql4sqVK7z22mvMzMwI/5Qk68tkMkxMTBAOh1EoFGxsbKBWqwWD0tzcjMlk4s6dO0SjUU6cOCEYrf7+fsEQjY6OcufOHcEwS/POstms8DFK8r6mpiZUKhXRaBS/3y/YPollzmazYvB0MpkUA6UlFjgajVJXV8f8/DwDAwPE43FqtRpXr17l1q1bWCwWLly4wPr6OouLi9y5cweXy0VfXx979+7F5XKxuLjI0NCQGFHR1dVFKpWipaWFuro69u/fL1g7qcG4cOGCKNRfeuklTCaTWFyoVCpoNBpWV1dZWVnBarWKRrelpQWfzyd8dHfu3MHv9+N0OllcXCQUCjE9Pc2bb75JIpGgVqvR3NxMY2MjTqeTubk5PB4Pf/d3fydGFgwPDxOJRERaY11dHUqlUqTPSv4z6VqMxWJ88pOfpLGxUVzXr776KoODg3R3d9PU1CQYJilt88iRIxiNRpqbm+nu7ha+Q51Oh0wme88Q+2g0ysLCAqlUing8jlwup7Ozk2QyKRZ+UqmUYFW9Xi9ut1sMcZc8nG63m9nZWcrlMj09Pej1ev7Lf/kvYj7d9vY2165do729nVu3blGpVHA6nRgMBjQaDYuLi6hUKmKxmGAia7Ua2WyWfD4vxgRIMzTL5TJbW1vCXyqNE3C5XGIGpsfjIR6Pi1Rcr9dLfX099fX1tLS04HA4cDqdQhLqcDhwu91EIpGf+rmw08D9BMhksv/ln5/Fa+5gBzvYwQ528JMwMDDAysoKa2trQvokFVlWqxWdTickjDKZTERgy2QylpeXmZ+fZ2NjgwsXLoj5YteuXWNyclKkyBWLRWQymUhfnJqaYn5+XswHu3XrFq+++irZbJa+vj6CwSClUonFxUX8fj+xWIzr16+jUCiYmJhgbW2N+fl55ufnCQaD3L17VwyUlmL/i8Uivb29Qmokl8u5e/cuv/ALv4DFYmHv3r2iIX3rrbd455132NzcFHOjgsGgSMeU0u0uX75MKBQim80SCASELykajYrV8qWlJSG11Gq1Iunwqaeewmw2Mz4+Tk9PD263m6WlJZaWllhfXxfNl8SmSd6v97///Zw9exav18sHP/hBTp8+zdGjRxkZGaGrq0s0qNLxk372kY98hPn5ec6fP8/u3bvx+XxMT0/zZ3/2Z3z0ox+lWCyyuLiIx+MRA4TdbjdHjhyhXC4Tj8dxu9243W5yuRxra2scOnRIeIJyuRzpdJpQKCS2YXFxEYPBgMlkEjHwLpdLhHMArK2tifETt2/fJhaLCcnb5uYmsViMoaEharUa9+7do1wus7GxIdhKmUwmmo1AIMDi4iKRSISrV68yPDxMd3c35XKZ4eFhSqUSTqeT3t5ePB4Per2eUqlEOp1mZmZGzP9bXV0lEomwsbFBJBJhZWWFu3fvUiqVaGxsBBDx+VL0vRRwEQqFsNlsGI1Gjh49ymOPPSYagD179rC0tCQYZylav1gsEg6Hhewxk8nQ1taGWq1mcHCQ06dPCx8UgMvlIhAI0NLSgkqlwuVyiTpPGifR2tpKsVgklUpx+fJlbty4QV1dHbt376apqYnNzU2uXr3K5uamYH1SqZRgbavVqmjQp6enGRsbw263o1AoaGtrI5VKsbGxIRIQ7927RyAQ4MqVK9y8eZMDBw4wMDDAiRMnOHjwIGazGYvFIuLtpXEfUuDR+vo6dXV1gkU+c+YMlUqFYDCI1WoVIx70ej0ul0uko0rz7aQmxev1ijEf0vvVajUaGhrweDyiJpaO8crKivAfSvLZ7u5uIQut1Wokk0kGBweFz7CtrY36+nqq1aoYI5LJZLh06RLXrl3j/e9/P6VSiaGhISE3XlpaYnp6WqSISp5h6b6gVquFJFTyBkqLNvF4nGQySTwe5+jRo2xvbzM1NSXCYXK5HENDQ6hUKiFx/vujS8rlspBWu1wu7Ha7kNFKcxx/EnYauH8k/neN3U/zZwc72MEOdrCDnxbpdJqOjg5RTEUiEeG3WFtbE5I4qdCKRqPMzc2JuUuSbPGBBx7gyJEjBINB+vv78Xg8bG1tsby8TDweF8zdrl276OzsJJfLsbS0RCQSIZlM0tbWxvj4OD/4wQ/IZDKcPXsWgOeee46/+Iu/YHNzk+XlZaamprh16xY3btzg3Llz/P7v/77wP9XV1Yl0SilCu7GxkXv37nH27FnC4TBPPfUUKysrTE9PMzs7C8CNGzdQKpVMT09TKpUwmUzU19eTTqd5+eWXGRsbE56cYDDI/Pw8SqWSa9euUalUaG1txe12I5fLRVHvdDpZWFgQIxhqtRqLi4uk02m2traE18bpdDI4OIjH4+G5555DoVBw+/Ztwc4plUoaGxt5/PHHuXz5MhcuXKCuro7FxUU+/elP8+STT3L79m3UajWzs7PMzMxw4sQJvvWtb/GXf/mXPPHEEyJ4o7Ozk+eff567d++ytbXFysoKJpOJQ4cOEY/HOXPmDG+88QZOp5Ouri7q6+sJBoM4HA4x7+/+++/HaDQKGaGU2JjJZITcVApF6e3tFWMFdDqdGFKtVquFRLVWq4njZjAYSCaTLCwsiFRPQDBxW1tbbG1todfrRdN69epVHnzwQbq6unjppZfQ6XQ4HA5efPFFmpubSSQSOBwOEZk/OztLJpNBr9cLT53UBN69e1cU1+3t7ZhMJt58800mJibw+/0Ui0Xq6+spl8usrq4KBlhKFn300Ucpl8tcu3aNt956i0wmwyc/+UlGR0d58sknue+++6jVaqJBkZiuXbt2CaZQ8hJKDYMUD9/c3MyePXvYvXu3CLbp6enBZrOJofbSOTA6OorVamVmZkaMHtjY2MDhcGA0Gnn33XdFWmk6nSaZTHLo0CFGR0cZGRmhpaWF06dPC/Zme3sbhUKBWq2mUqmIxNOXX34Zo9EovHUjIyMiCdRkMpFMJsUss0KhIDyqkpSzr6+PUCjEnTt3GBwc5BOf+AQPPPAAmUyGlpYWdu/eDSBGIjQ2NrJ3717q6+vF4lKtVhONsMSmOZ1OwSJL55XL5cJsNtPc3IxGoyGVSqHX6+nu7hbyRIn1kwZgq1Qqstks7e3tOJ1ORkdHcblcovnt6+vjl3/5l8nlcnzsYx/DYDCIRl9ahLDb7RQKBZRKpZhhl06nhZ9RkgwXi0URuFIoFFhdXWV7e5vbt2+Tz+fZtWsX/f39zM/Po1AoqFaruFwuFAoFuVwOALPZLGTm0oKQxDSr1Wo6Ojp2Grgd7GAHO9jBDv45oFAooNPpuHTpEufPnxeFs+TtkVZ/79y5w+XLl3nnnXd4++23mZ+fp7W1lfr6evbv34/X6yUYDBIOh+ns7KS/v5+6ujo+/elP43a7xQqzw+EQxVNrayuPP/44LpcLv9/Prl27RMT+f/pP/4mnn36agwcP4vP56Orqwmg00t/fT2NjI21tbVy7dg2r1cq3v/1tbt68yeXLl1lZWWF+fp5bt26xuLjId77zHYrFIiMjI3zyk59Eq9Vy4MABXC6XYI66u7upq6sjFAphMpmE506agTYwMMDExATXrl1jenqa6elpQqEQCwsLTExMCM9gNpsV8+jq6uro6upieHiYo0ePEolEuHbtmijEbt68yd69e0mlUhw+fJj5+XmefvppPvvZz9LR0UFnZyfT09NcvHiRZ599lhdffJFoNMpnPvMZbDYbra2tXLlyhXfeeYdjx47x6KOPsry8TGdnJ6+//jrNzc18/vOf5y/+4i+Ympri8ccf57XXXuM73/mOiGh3u91MTU3hcrlobGxkcHCQQqFArVZjcHCQcDgsGqbBwUERyCAVkIBIz1QqlWJEhBSaIsXqNzU10dbWhtlsRqvVkkwmcbvdtLe3o1arKZVKWCwWHA4HKpWKXC5HX18fWq1WzCK02+2i+M/lcuRyOXw+H3v37iWfzzMwMIBWq+Xzn/88KpWKcDjM8PAwNptNJDdK53qlUsHv9wuJ3djYGOfOneNHP/qRCMSQhiVLskeZTMbdu3eZmZkhGAyytraG3+9HoVAQiUSor68nFApx5coV3G63KOJPnz7NoUOHGBwcxGg0Cn9fJBIhHo8LtmXPnj2kUikuXrzIvXv3uHr1qjgHvV6vkPdKUf5qtZrDhw/zyCOP4HQ6xcD6xsZGMUi6o6OD+fl5McNOGurd3d3NxsYGL7/8Mg0NDezduxeNRsPy8jLLy8vI5XJ+9KMfsbW1JdJhpSCX7u5umpubicViIoq/v7+f/v5+RkZG2Lt3L+973/toaGhgZGRESHylgBwpSfHcuXPU19cLCeYDDzyA2+2mr6+PGzdukM/nhZQQEKEpkp+stbWVarVKKBQSQSkSo1oul0XYi8RkS4mdkUgEu90ufJ4SM+twOIRn02azsbm5Ke5LP/rRj9BqtZw/f55sNsvExATlcpkDBw6wsrIizsmPfvSjeDwe4WNramoinU6LuYGxWEykYy4vL1OpVKjVahQKBfL5PKFQSHh9ZTKZmAsnzXy8evUqTU1NAIIdlMYfeL1eVCoVAEqlknA4LCSTUshQPp9Ho9H8VM+Fn8scuB3sYAc72MEOdvCzQa1WE4Nj5XI58XiccDhMKBQSckTJDyZFbXd2dgpWSfLgGAwG3n77bfH1yZMnuXnzJtlslsOHD/PDH/5QFDLSa5w+fZo33ngDl8vFY489hsPhIJ1Oc/DgQerq6vD7/fT39/Nv/s2/oaenh1/+5V+mpaVFsHwnT54UBfzFixdxuVwEg0FyuRxnz56ls7OT1dVVFhYWaG1tJRKJsLCwIORtcrmcV199Fa1WSyqVorW1lXK5zP79+ymXyywuLtLc3EypVKKuro7l5WWeeuopIetaWlqiq6uLzs5O3nrrLVF0SnJFaVzC9evXOX36NI899pjwNrlcLmKxGB/60If48Ic/zB/90R+xvb2NzWbjgx/8IGNjY6ytrWEymXjooYdQKBTs27eP119/nZmZGZHmWa1WeeyxxxgbG+NjH/sYJpOJrq4u2tvbGR8fZ2tri76+Pr7whS9gNpt56KGHePvtt8nn86jVasLhMEqlko6ODlZWVti/fz+JRIK1tTVisZiQhu7bt4+1tTW2t7dFo1Cr1djc3KRWqwm5qFqtFjPYpCZOCuDIZDK43W7h9ZHi06XRD1Kku9PpFKmNEmu3tbWFzWajXC7jdDqJRCKEQiHq6+sFK3Lnzh1MJhNf/OIX0ev17Nq1i2QySUdHB7du3RJBGiqVij/7sz9jbm6O5uZm5ufnRRDLnj17mJyc5IUXXuDGjRu88sorTE9Pi+MusbbFYhG73U5HR4eYbXb+/HmuXLlCW1sbjY2NPPvssyLdUKVS8YMf/ED4OZeWlmhsbBSfX/q5y+Xi+PHjVKtVurq6SCQSfP/738fn89Hd3Y3f70elUtHZ2UkqlaKjo4O1tTUx3+yZZ55haWkJt9st2L7V1VUKhYJgjhwOBwAHDhygWCzS3d0tBkj39vZSLpepVCpEo1GGh4eZn5/H5/OJUCO5XM7Kygq/9mu/htfr5eLFizQ0NPCJT3wCr9fL5cuXUavVIo7fbrfjdDrx+/1iDMixY8d47rnn+NM//VNyuRwtLS0EAgHu3LlDPp9nYWGB/v5+sa2hUEiMn5CY8EgkIqL7JYk3/Jixk9hLyZPrcrnYtWuXUANYLBZxztlsNkqlkpDMSgFNUmCSz+cT8/ekUQ379u2jVqvh8/mQy+U89thjuFwuOjs7CQaDbG9vi5h/afyJNHZCmu8mSYJTqRS1Wo1KpSKaTovFglarJZPJcOLECb7zne8wPj7OiRMnRJKlJFGW2OSBgQEmJyfFcHdJumm32zGZTCI1+KfBTgrlDnawgx3s4P80dlIo/wFoa2ur3bx5U4QTALz22msiaKRYLPLwww/j9/vR6XTU19cTjUZpb29nYGCAWq1Gd3c3ly5dYnJyErfbzYc//GFu3rzJww8/TDgcxmAw8L3vfU9ExZ8/f17E+EsBCG1tbaLwHR8fp1gs8sYbb9Dc3Ixer+e+++7j13/911lfX6e3txetVkupVKKrq0vEjzc1NbGxscHu3bv5d//u3zEyMkK5XCafz/P222/jdDp5+OGHOXv2LCqVSkjhpLCWWCwmmIyFhQWeffZZvvWtb/GpT32Kf/2v/zVLS0vs2rWLl19+ma2tLdrb24Uv7q/+6q8EC9DZ2cmxY8ew2+3cvHmTWq2Gw+HgmWeewe12Mzk5ye/8zu9w8eJFvvSlL/GNb3yDvr4+fD4fzz//PAMDA9jtdjo7O4lEIrhcLtrb2/mrv/orUSSePXuWgwcPMjc3Ry6Xo7+/n+3tbeG7WVxc5POf/zwvvviiiG5PJpMMDQ1x+/Zttre3eeihh3A4HCLUZNeuXezbt4/p6WkcDgfvvvsu5XJZvPbAwACrq6tsbW0RjUbp6enBYrFw9epV5HK5mHkmpY1KBavZbGZzcxOPx4PJZGJ5eRmHw0FTUxOJRIJYLIbP52N9fR29Xo/JZGJ1dVWMk1CpVCwvL7O9vY3P52N1dVUMOa+vr6erqwuPx8NXvvIVpqamCAaDfP3rX8fr9dLV1cXly5dpa2tjdHSUixcvotPp+O3f/m0+8IEP8Jd/+Zdi8PLS0hL9/f0ihENiglwuF0NDQ6KZNBqNNDU1CblsrVZjenqarq4u4aP0+Xz8xm/8Bg6HA7vdTkNDg2DggsGg2Mebm5uCsZKaOoPBQDAYZHNzU4xQkLyApVKJkZER8vm8CLJpamriX/2rfyU+61//9V8zNzfHr/7qr/K9732PQqGAVqtlZGREjDLQaDTMzMyg1WppbW1Fp9ORSCTY2trC4/GQyWRIJpP4fD7eeecdsa3T09M4nU4+8IEPiHmMS0tLxONx7r//fkKhEF/5yle4fv06W1tbGI1GGhsbyefzTE5OEgqF+N3f/V1+5Vd+hbfeeouxsTFWVlYIhUKMj49jsVj4wAc+QGdnJ7VaTfjgNBqNCNKRpJOBQIBr165hMpnEaAEpvEjy7Gm1WhGEYrFYOHDgAB6Ph0gk8p4Qm2QyyfXr10mn0wwPDzM0NER7ezvNzc288MILTExMcOLECQ4dOsTDDz9MNBolmUwyMTGB2WwWXkO9Xi/mJC4uLgqp8PLyMmq1mrq6OiwWi/g3qWnLZDI4nU4x5F5SIlitVuLxOHV1dVy5coWzZ88SjUY5ePAgJ0+exGq14nA4yOVy2Gw20aTXajUymQwbGxtoNBoCgQB79+7l+eefZ2pq6if6rXYYuB3sYAc72MEO/i9GrVbjwIEDfOYzn+GJJ56gWq2KJD1JHnT+/HnS6TRer5fm5mbMZjPf/va3RUF+/Phx6uvr4f9h782D26DPPO6P7suW70uy5ft2bMdJnDiJnZsEkgDNAiFcDQtlyxba5Wg7084uzFJgU6AcLUcXFhgoxzah5CA3uUzuxHZ8Zlu5RQAAIABJREFUX7EtyZfkU5IP3fL7B6Pf7P61ff95h3lH338YkkzkSLL1e37P83w+QDAY5MMPP8TlcrF3714cDgfBYJD09HScTie33HIL2dnZHDlyhKioKFwuF+fPn+fw4cPk5uaysLAgdoJUKhUGgwGn00lHRwfXr19nYGCArq4u3nvvPRQKBc8++yzV1dWMj48zPDyMVCqlvr6eY8eO0dzczF133UVnZycpKSm0tbWJ8aKJiQkqKyspKCjg2LFjVFVVUVFRQUlJCRqNhsuXL/PWW29hMBgoKSnh5MmTgprY0NDAT37yE2pqavjuu+/44x//KDpf4QNkeF9raGiIrKwsQRo0m818/fXXAjjy+OOPc/vtt3P33XcLkqdCoWDx4sV4vV7a29t56KGH+Pzzz9m8eTMZGRkcO3ZMeMAkEgnR0dE4nU5kMhn/9m//xr333suaNWv45JNPALjttts4fPiw2D+rqakRnbZgMEhNTQ1Op5PU1FTq6+upqqri/Pnz9PT0UF5eTmJiohgxjYuLQy6XU1FRIbqZ6enpwv8HCNqe1+sFvh/TNZlMyOVy7HY7WVlZLCwsEAgEkEqlpKWlCepeGCSi0WhEMRH2/iUnJ6NSqcR7KVzcLywsMDY2xvr166mrq6OtrY0PP/yQDz74gAMHDghBemxsLH6/H5lMhtls5tixY9xzzz2UlpbS2tpKXl4earWaiooKsrKymJ6eZmFhgePHj7No0SLRqU5JScFms5Gfny8Q/GGdxE9/+lP++te/snjxYtra2rjrrrtQqVTk5eVx6dIlNBoNIyMjYu8yOjpadJsHBgZQqVQkJyczNTWF3++nublZyNXlcjl+v5/e3l4ALly4QExMDEajkYMHD+J0OpHL5eTn5/Pzn/+cwcFBEhMTxfMUCoWIj49naGiIFStWkJubi8/nIykpCYvFwvz8PDExMf+rA9Tf38+iRYuECzI+Pl4AgOx2u7jsMJvNAoCj0+nExY1Go8FisWAymcjMzMThcDAzM8OGDRu4fPkySqVSSNtzc3MZGxtjYWGB1NRUFhYWUKlUZGZmIpVKBUBofn6eqakpUdjMzs6Snp6OzWYTO6dTU1NoNBoxMqjRaIR0u6enB71eT2pqKjk5OXi9Xrq7u8XzERMTw+TkJPv27UMmk7F48WJu3rxJSkoKOp2O+Ph4JicnUavVFBYWolKpKCoqwmAwEB8fT1dXlxjjDO9HxsfH4/f7BbTG6XSK7qvD4RCjxTqdToyvh0eVo6KimJiYIDc3l5SUFFpaWpiYmECj0eDz+ZifnxcKFqVSKQrIiYkJoagIu+jCY5b/VyIFXCSRRBJJJJH8gKNWq6mpqREL/jKZjNLSUgoKCrDb7fT09JCYmMj8/DxqtRqr1UpycjJbtmxh7969bNu2jdOnT/P6669z8OBB/vSnPzEzM8P169cZHh5Gq9WSm5uLSqUiLS2NM2fOCOGwVColKipKdBEGBwcFea++vp6srCxef/11Vq1aRVlZGX/+859RKBT09PTg9Xppa2vjX/7lX9i/fz9xcXG0tLRQVFRES0sLx44dY2Fhgd7eXpRKpTigTU5Oij0bn89HfX292K0J4+8VCoUAcNTW1grKZHFxMTKZjNWrVzM0NERZWRl/+9vfhPh7YWFBdGzCyPqamhpSU1MxGAz09/fT29uLTqfj1ltv5dVXX2X9+vWiezA2NsbWrVs5ffo0bW1teL1e1q1bxwsvvMDatWtFIWs2m1m8eDGdnZ387Gc/w2w28/HHH7N+/XrefPNN9Hq96MItX76cI0eOkJGRgUaj4cyZM+j1enEYDQQCpKSk0NXVxfz8PBKJhPr6egFkqa2tZXx8HKlUisfjwWw2o9PpSExMJCsri87OTnGQDYM+dDqdcFXZ7XbS09MFaj8YDIpCISyGDu/Jhffo+vv70el0eL1eZmdnCQQCJCQkMDU1JdD64bFFmUyGw+EQWoOSkhKBmH/xxRf59a9/zVdffYVWq+XmzZtcunSJmJgYXnnlFQ4fPozP5+PZZ59lZmaGRx55hF/96leCItrf3y86d06nk++++w6pVEpqairT09Ps2bMHtVpNVVUVCoVCqAQqKyt54IEHyM7OpqCggKSkJCYnJ+nr68NqtfLWW28Jj1uYONrX18eNGzdEwWEwGJifn6e5uVmAKRobG/H7/eh0OtGR7O3tFSN1eXl5Yg9samqKoaEhQUu88847GRgYEGTWiYkJZmdnAejr66O/v5+srCwx5moymZibmxOdvjAEZ/v27axZs4aGhgZmZ2eZnp4mMTFROP3a29v5+uuvsVgs5ObmCmG13W6noaFBdO2qqqowm80A4vsz3OGVy+ViP7C7u1vsRoaBHbOzszidToHiD18shOmp09PTaDQaActRKBRotVoBEcnMzCQQCIgxU6vVSnl5OXK5nIsXL2Kz2UhPTycqKoqnnnqKoaEhxsfH0el03H777YyMjJCZmUl/fz+33HILN27cEB7Eubk5oqOjiYmJITExkebmZlFUj46OisuDMOwnTKX0+/2i+JLJZKL48/v9ghA7OTkpphTGxsbYtm0b+fn5qFQqJicniY2NZWxsjEAgIPybYQ9dX18fNTU1f/cIZQRiEkkkkUQSSSQ/4DgcDlQqFe+88w5Xr15lenqa1tZWpqam6OzsZGpqSqgDXnjhBf7whz/w5ptvcvz4cY4fP86nn34qIAC7d+/m/vvvp7S0FIfDgVarFVqCtrY2urq6mJubw2g00t3djUqlor+/H6PRSFdXF21tbfzlL3/h9OnTKJVK2traSEtLo7GxkePHj/OP//iPGI1GtmzZwq233kphYSFarZa77roLtVrNXXfdxaZNm3j00Ufp6uri6tWrjIyMEBsby+OPP86OHTuoqanBarWK/wJs27aNF198keLiYq5du4ZarebJJ5+ktLQUjUYj9n7ChVkoFGL79u2sWrWKmpoaVCoVTzzxBFlZWWzYsIGioiLg++7m1NSUOJiFSY4Oh4NFixbR0NAgABGhUAin08nq1avZsGED586dIyMjA5VKxdatW6mrqxM+ss2bNwPf7zB9+OGH9PT0cOeddwrJ8i9/+UsmJydJT09nenqajIwMlEolra2tFBYWUlBQQFdXlxAUHzx4kJSUFCorK8XXV1hYyMqVKwFoamri/PnzxMfHCwhFV1eXGFFzu90olUrRnRsZGUEul+P1eoXCIRQKidHCmZkZ4eKSyWSCJOjxeMQuXTAYFJ08o9HI2NgY6enpotuYlJSE3+8nEAig1+txOp3Mzs6SlZXFL37xCyYnJxkdHeX5559nYmJCCMAvXLgg8OxXr17ljjvu4J577uHdd9/ltddeY9u2bQJ4MTY2hslkora2luLiYoqKilCpVJw5cwaPx0NsbCyrVq1i27Zt/OIXv6C2tpZ7772XtLQ00tPT2bRpE9nZ2eTk5NDc3IzP5xPjpQkJCfh8PgBiYmLw+Xz85je/IT8/n76+PuFhLC4uZv369Wg0GuLj45mbm2NoaIjU1FT6+/tFt7u4uBin00lmZiYFBQXExcWRkZFBVVUV9913H/n5+TzyyCPccccdmEwmIXjWarXMzMxQWFiIXq8XRVQYg+/3+xkcHKSgoACPx4NUKhW/npmZKSiHLpeLzMxMGhoauH79OjMzM/h8Pvr7+zlx4gSNjY1otVrhhYuOjhYwmYGBAaEbKS4uFpRWl8uF3+9HIpHgcrlobm4WFxgzMzOUl5fj9/tJS0sTgJDMzEw0Go3A6Ws0GrF3m5CQgFwuR6lU4na7cblcmM1m4Yu02WwAbN++nZiYGKRSKQ0NDRQWFoqx2aSkJKKjo8nKymLFihU4HA5KSkowmUzEx8cTExNDKBQiOzub6OhoSkpKUCqVTE1NYTAYCAQCpKamCuG2x+PB7XYLcXggEGB2dlZ0RDMyMvB6vXR0dNDR0UF+fj45OTlotVpGR0fp6ekhFArR1tZGc3Mzo6OjDA8Pi87g0NCQeNyRkRGampr+rs+FSAcukkgiiSSSSH7AUavVNDU1cfLkSXHbX1ZWRl1dHYWFhYyNjTEyMkJzczM//elP8Xq96PV6duzYwf79++nq6kImk9Hf38+WLVuYn59n/fr17N+/n4aGBuLi4rBarbS2trKwsCBu16VSKZmZmRQVFXHt2jXOnj0rcN/Dw8PEx8fjcrlYu3YtExMTOJ1Oent7WbVqFRKJhOnpaTZv3iwcXNnZ2Wg0GrRaLQaDAZfLxdzcHElJSeIm3mKxcOHCBXEwkkgkVFdXo1arycvL4+6776a+vh61Ws3w8DCffPIJOp2OwsJCjEYje/bsoaqqSuDDP/jgAxobGzEajaxcuZI33ngDnU5Hb2+vAKDo9XqSkpLEuGgYgLJy5UoGBgYA8Pv9YqTy4MGDbN68meTkZM6cOUNDQwPPPfcc58+fp7GxkXvuuYf6+nrKysoE4a+2thar1crc3ByFhYW0trby0EMP0dTUxLFjxzAYDJw6dYp169bh8XhobGwUjyGRSCgrKxM7WNHR0QKjXlhYyLVr19Dr9SQnJxMIBJDJZMzPzxMVFYXX6yU1NVXIt8OdhOjoaEHidLlcAlYSHx+PzWYTfy4UCmGz2YR43eFwMDQ0RGJiougqhKmXCoUCv98vxjIVCgUSiUSg2MMF1dzcnPj31dfXY7PZSEtLw263o1arWblyJampqYyPj/Pyyy9z6NAhLly4wKeffordbufVV1/l1KlTGI1GzGYzP//5zzEYDDz44IM88MADPPnkk1y8eBGTycR//ud/CiF6ZmYmhw4dwu/38+KLL1JQUIBCoSAtLY2jR48K/9rk5CQrVqzA6XSybt062tvbqa6uprS0lJGRETo6OggEAqjVaiYmJrh58yaVlZWMjY3x7bffkpGRgdFoZH5+nsWLF/PEE0/w+OOPExcXx/r16yktLRWFZktLC3Nzc1RXVws/X/j1CMvl1Wo18D3VUKlUCuR8d3c3Op2O5uZmKioqcLvd6PV64HvKY29vLyqVirGxMRobG9HpdNTU1KDT6cjPz6ezsxOLxcLQ0BDLly8XEJTwe6C3t5fy8nImJibo6upidnaWkZERamtr/1f3rrm5mbS0NHJzc5mZmSEtLQ2/349GoxH7mPPz8yQmJmK328UlQZg4Gv55NTc3x9zcHICACKlUKgKBABMTE3g8HqxWK48++qhQZwwPD+N0OomNjeWBBx4gIyODc+fOUVVVhVwuZ3JyUlzsSCQS7HY7KSkpaLVacXlls9kwmUzY7XYCgYC4wAiPUaampjI5OYlEIiEUChEKhYQCIAweUalUeL1eJicn8fl8VFZWUlpaSk5OjgAJKZVKZDIZOTk5uFwu0V11Op2iaJuYmPi7dWORAi6SSCKJJJJIfsBRqVRcu3aNY8eOERMTQ2dnJwkJCbz88sssWrSI3Nxcjhw5wvnz5yksLEQikfDVV1/h8/no7e1lYGCAdevWYTAY6OrqEqJmlUolDqmXL18mGAyKxxsdHWXTpk0MDQ3R0dGBwWAQnbozZ85QUVGBSqUSeHODwcCaNWtobGwUN8zV1dXU1tbS1tbGtWvXyMjIwO12YzQaMRgMfPvtt8zPzxMIBJienqa0tJTCwkIWFhaELHz58uXIZDK+/PJLLl68iFarRaPRMD09zcjIiNh3CYVCfPbZZwCcPHmSuro6dDodH374IefOncPlcrF9+3ZcLhehUEiM1fX09BAXF0dvby+JiYn4fD7m5uZEd2RyclIUJwaDgd7eXjIyMvD5fGi1WioqKhgfH+eLL77AZDLx85//nKtXrxIXFycE5OGOjd1up6KigtOnT1NaWsqnn36KRqOhpKSEoaEhnnnmGcrKyujq6qK8vJzm5mba29t54oknMJlMnDhxQoz/JScnC9S90WgUh/euri6ioqLEc7KwsEBXVxfx8fFkZGRgt9spKSnB5XIxMTEhaIYOh4PY2FhB9YuPj2diYoLx8XHh3As7BaVSKUqlUsiwTSYTEokEpVLJ9PQ009PTQsAcfq3kcrk4QIe7ngUFBdx///288sorNDY28uqrrzI2NkZWVhZlZWV4vV6cTidPP/00VqsVj8fDhQsX2L17N3K5nCVLlrBq1Sr0ej06nY68vDyWL1/Oyy+/LGir9957r7h4qKioEN218F5TV1eX6KBUVVXxzTffYLVaUSgUZGZmChVGWIfR2dlJY2MjXV1dfPTRR+zbt08oLpxOJxs3bqSnpwepVEplZSXBYJAVK1bw4IMPsnnzZuHnm52dZWpqioGBAUKhEIODg2g0GiYnJ1EqlWLMNewkDINklEolUVFRYg8tMzOT2267TfjYpqenRXEfLugzMzMFqt/tdjMzM8Pk5CTz8/NoNBp6enowGAwAjI2N4XA4KC8vx+12o1KpOHv2LCqVCrVaTXd3N2azmY6ODiHsnp2dFYVNmGIb/pkQvuhZWFhAIpEI/9vo6KiAl4T3PBUKBVNTU6ITHh41jI2NFUqH8vJyhoaGCAaDfPLJJ2LMe9euXchkMi5evCiUGR6Ph6ioKNEJ1mq1lJWV4Xa7iY2Nxefz0dTUhMFgQK1Wk5+fT09Pj6CxxsXFif3A8OWFUqlEq9UK8E96ejpzc3MsLCyIEdCwyD2sYpmZmWFiYkK4PEdHRxkbG2N0dBSJRCI0GuER5srKyr/rcyFCoYwkkkgiieT/60QolP8vUl5evmA0Gjlz5gxWq5WBgQHef/99vvnmGzZv3sw999yDRqOhsLCQ8vJycQPt9/vR6/XI5XIhng4j4/fu3YvFYkGv1wt6nclk4ssvvyQvL4+pqSkeeeQRPvzwQy5evMjs7CzFxcV4PB4mJyd5//33OXDggPBoeb1eysvLOXnyJLOzs8J3duPGDTZv3kxKSooY82tubkapVLJu3TruvvtuUlJS+Pd//3cCgYDwN911110MDAwwPz8vul6NjY1UVFQQFRVFRUUFJ06cwGQysX37dl599VXMZjPZ2dlERUWxZcsWmpubkUgklJaWcsstt3DhwgXeffddPv74Y8rKyqiurubmzZtCbJyQkCBogN3d3bz77ruMjo7ym9/8htdff52YmBhuv/12zGYzXq9XyLXn5+cF1CI9PZ26ujp6e3s5dOgQeXl5jI2N4Xa7heZg06ZNTExMsH//flpbW7Hb7Tz77LN8/vnnPPTQQzidTk6cOIFarSYnJ4fjx49z6623IpfLaWpqorKyUnQd5HI5Q0NDREdHs2TJEk6dOkV8fDxnzpwRNMyYmBhaWlrIy8sTyPqxsTFKS0sZGBggJiaGrKws/H4/drudjIwMgeyvqqrC6/WKw3zYXxZ2y4VF0tHR0aJD09bWJv4+iURCWlqaAKn09vYKAES4WM7Ozuazzz5jyZIl9Pb28uSTT1JcXMy9995LYWEh33zzDZOTk9TW1jI/P88f/vAHsrOzWbp0KRKJROxkffDBB4RCIUpKSkRXuKuri2vXrlFTU0NfXx+hUIiHH36YqqoqxsbGyMjIoKamhu7ubi5dusTp06dpamoiISGBp59+mrm5Odra2mhra2NkZIRVq1ZhsViQyWT86Ec/QqlUiguR8PfX5cuXSUhIwGAwkJeXJ2A84Y5LWJkRFRWFXq/HYDDQ1tYmRurm5uZQqVRYrVa0Wi0+nw+73c7w8DBut5tVq1bx8ccfs3TpUqKiorBYLMD3aH6JREJfXx/d3d1s2bKFzs5OWlpaRDc1MzOTJ554Aq/Xy9TUFMnJyQwNDQGQlZXF7OwsEomElStX0tXVxZ49e7hy5YoobGprazl79ixxcXEMDg5is9m49dZbueeee7BarRw8eJCioiK8Xi86nU50Kb1er7ggCv9eeHQQEC67cHE/OjpKRkaGcMD19vaSkpLC0qVLaWtro7OzE5VKxdGjR9Hr9bS0tAg1xujoKMXFxZhMJqEVWFhYECOXarWa6elpEhISRGc4PGJsNpvF16BQKFCpVHR3dxMMBsXrFwwGxT5nGFDidruRyWRi31MqlQpAi8PhoLi4GLPZLAq28fFxnE4nNptNXHR0dXWxfft2rl69SmNj4//ZhovswEUSSSSRRBLJDzhh7L3f76e6uhqbzca2bdtYs2YNKSkpWK1W8vPzge9hA2vWrBEAEZVKhc/nEyNT/f39qFQqZmZmqK+v58qVK7z++ut4vV6io6PZuXMnPp8PlUrFoUOHaG5upqysTBxyh4eH8Xg8eDwesWOjUqnYsWMHHR0d6PV6Ll++zGuvvUZzczOxsbEcO3YMn8/H+Pg4VqtVdKd27dolICUWiwWLxUJcXBzr1q1j1apV7Ny5U7igFAoFO3fuJC0tjSVLlvDuu+9y5513srCwwJUrVygpKWHx4sX89a9/JRQK8dxzz9HW1sb169f57rvvuHr1Kjqdju3bt7NlyxY++OAD3nzzTaampsjMzBQUupycHPR6vRiHCh/KwmNYx48fJzc3V+zahZUN4Q6bSqXiv//7v3G73dx55514PB5Wr16NwWCgvb2doqIi6uvrkclkFBYWIpPJuPvuuxkdHWXp0qX09PRw4MABJicnufXWW2lubua+++5DqVTS3NxMfn4+crlcjNmVlpYSGxuL2Wzm+vXrlJWVUV9fT2xsLCtXrsRkMjEwMEBycjLj4+Po9Xq0Wi35+fmEQiGWLVsmfHlh/5bNZiMlJUXsKIVhGl6vVwA0wnS+mZkZJBIJExMTwjdXVFSEy+VCJpOJPavwyOWSJUuIi4sjISFB4NV7enr413/9V6Kjo0lMTORnP/sZCwsLvP3227S2tlJSUsIdd9zBwYMHuXz5Mrt370an0xEMBhkZGSE6Oppz587R1dUlIDM3btygqakJq9XKLbfcQl9fnzjUBwIBJicnyczMZO3ateTl5XHq1Cmam5vp7OykrKxMAC9WrVqFXC5ndnaWdevWsWTJEnbs2MG2bdvo7u6mu7ub4uJiqqurhVQ7vD9qNpuZmJgQEJgwtTI9PR2r1cr4+Dh9fX20tbURFRVFd3c3AwMDjI6O4na7hUR+eHiY9PR0Qd20WCykpaXR0tIiOseBQICxsTFOnz7NwYMHCQQCjI+PC1BGY2MjiYmJ6HQ6du3aJS4ExsfHxft/amoKq9WKSqUSXbaJiQkcDgebN29m69atDA4Ocvfdd4uiKBAI8N1333HhwgUyMzNZunQpbrebpKQkAEZHR/H5fKjVaiGCD/9/uHOZn59PWVmZ6MxNTU0JOFOYHPo/xfVKpZL8/HxWr15NY2MjV65cESAUgPT0dAoKClAqlSQkJKBSqfB4PAwNDTE6Oipk6+Pj42KfU6fTMTMzg16vF5Lu6elpBgYGWLRoERqNhpSUFJRKpQCshHcCe3t78Xq9wikXLoLDu7Xh8fXMzEzS0tIEcGZkZESI6sPycJfLxY0bN/6uz4VIARdJJJFEEkkkP+C0t7ezZMkSZmdnWbRoETt27MDj8VBTUyNG5UpKSiguLhaHP6lUit/vF+OMUqkUuVxOYmIiV69eFVj4MIFtaGiIzs5O0tPTycjIQCqVcvnyZdasWcP9999PVlYWGRkZBAIBCgsLiYmJYdu2bWzZsoXr169z6NAhJicnOXPmDIcOHcJqtfKnP/2Js2fP0t3dzTvvvMPp06e5efMmNTU1PPXUU7S0tHDgwAE+/vhjNm7ciFQqJRgMMjY2xoULFzCbzXg8HrZv386jjz5Kfn4+mZmZnDt3jmeeeYbZ2VlWr17NXXfdhdfrpaGhgXvuuYcnnniC2267jUAggEKhYN++fTz22GPcvHmT2NhYKioqqKys5NSpU9y4cQOHw0Frayu9vb10dHSIW3GLxcLNmzfFgTMhIUG40bKyssjOzmZsbIz8/HzUajWJiYlYLBZCoRAqlYrm5mYxBtjU1MSDDz5Ieno6W7ZsEZCZDRs2MD8/zx//+EfRicrOzmbx4sV88cUXFBYW0tDQwNmzZ4VrLrw7NDQ0xMmTJ0lLSyMlJQVAOPbCheWpU6fweDx4vV4MBgNut5uysjISEhJYWFggKysLvV6PQqHA4/EQCoUAiI6OJiMjA4fDgVwuF9TMRYsWMTMzI6AOsbGxSKVS0TkCBFDGarWKrl5nZyczMzMYDAZSU1PR6XRiz3H58uX/qxM1Pz/Prl270Ol0lJeXo9FocLvdLFu2DIPBgFQqFWCX4eFhNBoNO3fu5Ny5c2RmZvLFF1+QnZ0tJNmVlZUUFRVhNBqpra3lN7/5DVVVVZhMJtrb20VHeOfOnezYsYOkpCSef/55TCYTb7zxBgCbN29my5YtfP755/j9fgYGBsjKyiIYDOJ0Omlra6O/v59Tp06Rm5tLdnY2oVCI4eFhrl27hsPh4PDhw0IlkJWVRXd3tyjYT548KYAhV65cweVy0djYiMfj4dq1a6LYm52dpaWlBa/XS2dnJ8ePH8fn8zExMcHJkyfFBU5NTQ1DQ0PodDrxfvrmm28IhULccccdaLVaqqurhSg+XOyYTCYxGhkKhejq6sJisTA4OAggfHTh/UyTyUR3dzeXL1/G7XYL8bnT6USj0ZCTk0NSUpJA7UdHR5Obm0tcXBw5OTnExMSgUqnEJEB4nFWpVALfkz7DagGDwUB+fj5er5fs7Gy0Wq3ollZUVIgxzfz8fDIyMoiPj8ftdjM8PExsbCwpKSmkpqaKf2t433Bubo7p6Wmx/xgTE0NUVBRGoxG/38/Y2BgJCQmEQiFBSp2ZmWFkZISGhgZBbXW5XEI6HgaqTE5OkpiYSFRUFDqdDqPRKDqXADk5OQSDQQYGBjCZTOTn51NVVfV3fS5ECrhIIokkkkgi+QGntLQUs9lMcXExu3fv5u2336ampkYc5FJSUpDL5RQWFmK322lububGjRusXLkSvV4vUPuLFy/G5/ORkpKC1+vF7/cL0MT+/fsZHR1ldHQUgEuXLqHVarnlllv49NNPOXLkCHK5nKqqKlasWMEMV5r3AAAgAElEQVTg4KDo7qxfvx6bzUYoFOLq1askJyezbt06brnlFoLBoBhPGh8f59FHH+WFF16gs7OT3//+99hsNnbt2sW1a9fE4SU5OZmmpiYuXryIRqNhxYoVWK1WFi9ezNq1a9m1a5fwpWm1Wi5dukRfXx8vvfQSSUlJrF69mry8PIaHh4mOjiYhIYHExETWrFnDwsICL730Eo8//jjr168XO3yVlZXMz8+Lm/zU1FQCgQCjo6MsLCwI+EpqaqoQhMP3t+3z8/P09vaKIsXlctHR0YFcLiclJYX333+f3Nxc9uzZw/z8PHK5HK1Wyx133CH2sHbt2sUbb7whCo3e3l6WLVvG1q1bmZiYICsrC5fLxWOPPYbb7SYzMxOlUsmFCxdEd0KpVOL3+8nJyUGj0XDu3DliY2NZvXo1mZmZzM3NCepgGOXf3NxMdHQ0xcXFaLVavF4vycnJuN1uACQSCfPz8wI0YbPZkEgkzM3NCYF3WC6dlJQkunNTU1OkpaURCAREpy4QCNDa2opSqaSkpIQlS5aITppMJhMUSbPZzJ133sn58+d5+umnhax+5cqVQpmwceNG1q9fj0wm49tvvyUuLo777rtPdELq6+tJSkpix44d5OXlsXfvXjZu3IhCoeD48eNIpVIOHjyIQqGgv7+f0dFRzp49y759+2hpaWHfvn28/fbbwqG2b98+9uzZQ3R0NJ999pkgv4Y9bE6nkw0bNrB06VJaWlqIiopieHiYgYEBAoEA+/fvJzc3l/j4eK5cuYLZbCYUCtHR0UFWVhYlJSVCK+D1eoV/LhAIIJFI+PTTT7FarbS3t9PR0cFXX30lZObhEcmNGzdiMBgYHx+no6OD+Ph4FAqF2EFNT09Ho9EIxUX48kepVBIbGysuLwDS0tLo7+9n8eLFGI1GZmdn6enpwe/3Y7PZBN1TpVJRWlrKxYsXeeWVV+jo6KCrqwuPx8PU1BTBYJDp6WlBPw3/mtvt/l8FXliHoNPpiIuLw2g0EhsbSygUYsmSJTz44INIpVKcTid6vZ7Z2Vn6+vpYvHgxOTk53Lx5E7fbTV1dHeXl5URFRVFYWEh8fLxwA4Z3fqOiosQY4/T0tHDGhRUbw8PD2Gw2gsEg+fn5WCwWhoeHyc/PJykpifj4ePr7+5mZmRHf/6FQiLGxMSQSCVKplJGREaHUCGtfLBYLzc3NLF++nFAohNvtZmpqSuwPGo1GZmZmxKjp/5VIARdJJJFEEkkkP+BIJBIuX77M3NwcDQ0NWK1WNm3axKZNm3C73YyPjzM+Pk53d7f480VFRcjlckpKSli2bBkSiYTc3FxcLhcnT57k8OHDVFZWct9999HQ0EBTUxPj4+Ni9yYMGDhx4gR5eXkCx//YY49RUVEh0OsqlYrOzk4++OADXnnlFcrLy1EoFBQUFCCXy+nt7RXY/3Xr1pGcnMzbb79NcXExdXV1zMzM8NFHH6HT6QQBcteuXeTk5LBt2zZMJhPXr19n06ZN6PV6tm7dyqpVq8jMzKSyspLr169jt9spKyvj0qVLfPHFFzz88MN8/PHHrFmzBrfbTWNjIwUFBdTW1lJbW8v09DRZWVkUFRVRXFxMe3s7FouF8fFxBgYGxCEufMB0OBykpqaKEb/p6WlsNpsg7oU9bYmJidhsNjweD5cvX8br9dLY2MjKlSvx+XwkJCQwNjbGRx99RG5uLvv372ffvn1UV1ej1Wqpq6vjRz/6EUeOHAG+J9K9+OKLJCQkiBG31157jWXLlvH1118TExPDihUrsNlsjI6O4vV60Wq1TE1Nicf7nyOhYVx6QkKC0DPMzMygUChITk4mOzubYDAoiiCZTCaIlwqFgr6+PoaGhsTIVzAYZHx8XHShwgdfr9crQBBhKqVGo6G1tZXly5djMBjw+/0sLCyIw/XNmzeRy+Xk5uaydetW5HI5SUlJjIyM8Pvf/57f/e53nDp1ikOHDgmv2cDAAA8++CBlZWWcPXuW3NxcMjMz0ev1LF++nLKyMgF7OXjwoCgaxsfHeeSRR7jvvvtITU3F7Xbz8MMPs7CwQHd3Nx0dHfT29iKXy+np6WF6eppQKMTnn3/Od999R2dnJ2+//TZRUVGsXr0agPHxcd599108Hg+dnZ3YbDZKS0upqanB7XYLh96qVatYtWoVCoVCdIjC+oSLFy8CkJSUxPT0NENDQ4yMjNDa2sr8/DzLly+nubmZr7/+moqKCkKhEJcvX2Z6eprZ2Vk8Hg/JyclkZGSIAjH8OiYlJbFp0yYGBweZm5vj22+/pbKyEplMxtzcHF1dXej1erKzswHIy8sTkKAlS5aQmppKTU0NCoWClpYWEhISyMrKYuPGjURFRVFeXi6omMFgULyWc3Nz5ObmCjBOeno6qamprFy5EqPRSHR0tKCihqcGwoWlwWAgNzeXYDBIb2+veJ8VFhbS3d0tgDvw/V5auOsM3+tBzGYzCoWCqKgorl27hlarJTk5WRReRqORwsJCpqamcDqdYs9wbm6Onp4e+vv7MZvNpKamio56amqqIL6Oj4+TlJSEVqslNjZW0FbDsJYw0ddut4uufnZ2Nn19fcTExAhNRH5+PgaDQXSsIwVcJJFEEkkkkfz/IM3NzTidTu644w6MRiNJSUlYrVaio6NRKBRkZ2dz4cIFZmdncblcFBYWsmLFCgKBADqdDrPZzOjoKN3d3dTV1QnhdXhMKi0tjT179mCxWPjzn/8sZMI+n4+lS5cSHx9PXV0der2es2fPIpVKsdlsHDp0iL/97W/s2bNHjDt+++23LFq0CKPRiNPpZHBwkMTERL7++mtCoRAej4e7776bYDBIe3s7n3zyCcnJyVRUVJCVlYVEImFhYYHS0lL8fr/o7iQnJwughFqtZn5+ntzcXB577DFuvfVWxsbGWLFiBaFQiIGBAV566SVWrFhBfHw8ubm5xMbGcvXqVT766CMUCoVApAcCAWpqaoDv6Zt2u11IsNPS0oTsNyUlheTkZLRarXCahV18YaWBRCJhZmYGr9fLihUrGB4exmQycfnyZaRSKeXl5djtdkZGRvB6vcTHx7N582ZOnjzJ3r17SUtL44EHHiA1NZWtW7cikUiIjY0lGAwKP1xbWxv/8R//QVNTE1FRUdhsNlpbWzlx4gRFRUXEx8dz/vx51Go1jz76KGq1mkuXLlFdXc38/DzV1dVCIdDW1sb27dtxu90ChLJo0SJB7MvIyECv1yOTyUhOThZACb/fLwAcYRQ+IBxo4S5HWBERdsjFxcXR0dFBd3e3AESEoRIxMTFCbhzG0V++fJmCggIsFgtqtZp9+/bxwQcfkJuby1NPPYVcLufgwYPs37+fhIQEDh8+jEaj4dZbb+X1119n9+7d1NTUCA+eSqWiqamJAwcOYDabuf322wXl86mnnmJkZERQAP1+P1euXGHlypXs3r2bubk57rrrLkpKSsRzvXfvXt577z1CoRCnT59mbm5OwCnC8umOjg5qamq4/fbbeeSRR0hJSSEpKYmGhgYaGxsJhUJYrVaef/55zp07R19fn/C2+Xw+IbVPT0/n/PnzPPHEEyxZsoTGxkZ6enqIj4+nqalJ+PM+//xzmpubBf3VYrEIjH9nZycZGRn09/fzwAMPoFarMRgMeL1eFi9eLHyKYXVEdHQ0/f39eDweysrKUKlUHD9+HIVCQSAQID09naSkJNra2lhYWGB2dpYrV66I7/vR0VHhc5NIJMTHx5OSkiLGd0OhEGazWdBNVSqVEH+r1WpSU1PZsGED27ZtIyMjg7i4OJYuXUpycjJKpRKTySTGeZOSksTXb7FYMJlMmEwm4XfMz8+npaWF2NhYqqqqiIuLQ6/Xo1arsdvtwPcXX2E6aRjy0tXVhdlsFt3AsOg7MzOT+Ph45HI5UVFRuN1u8XyGi8bw78fGxuJyuVAoFGKfNDExkeTkZIxGI1NTU8zPz/+vjt3fk4hGIJJIIokkkkh+wCkvL6eiooKBgQHa2trQaDTk5uYyPj5OWVkZBoOBUChET0+PcC2pVCo2bNiAy+VCKpUyNDSE3W6ntLRU3BhPT0+TmZnJs88+y9mzZ5mbmxOkNavVisViISEhQeypJCUlsXnzZhITE9m+fTtlZWVixC4MxLDZbIyNjQnM+O7du9myZQtffvklbW1t3H///eh0Oo4ePcqOHTtobGxkfHycY8eO8dxzz1FYWCgORS6Xi2+++Yaqqiq6u7tZv349nZ2dAt7R2NjIwsICP/nJT3juuedYvnw5VVVV+Hw+3nzzTX7/+9+zsLBAXl6e+Pu2bdvGL3/5S65du8aRI0f48MMPiY2NpaCggLGxMbEXGEaahyl2g4ODlJSUEAqFsFgsLCws4PV6aW1txel0kpubi9lsxuVyCQR7WVkZf/vb34iJiREHwV27dokRxfXr13PlyhVqa2vRarWMjY3x61//mqioKE6cOMGmTZtEdyo3N5fz589TUFDAzp07uXjxIoWFhcTFxVFQUIBKpWJgYAClUsmOHTtwOBzs3buX2tpali5dyuTkJH19fSQmJhITE0NsbCzZ2dk0NDSIi4D29nZ8Ph/r169neHiY69evo9PpSE9Px+/3Y7FYxHhfeAdMoVCQl5fH6OioUC+Mj4+jVCpJS0tDo9GIzki4KMjMzMThcAhZ9OzsLAqFgmvXrgn8fFFRET6fj+bmZgByc3ORSCTccccdjIyMsHLlSkF/3LJlCykpKRw/fpw33niDb7/9ltTUVORyOVu2bOHGjRtYLBbq6+uZmJhALpfjdDopLi5mZGSELVu28LOf/YwPP/yQ6upq1q1bRzAY5Pz58zz88MMMDg7S2dnJhQsXqKys5J//+Z9ZtmwZ586dE11LhULBjRs3UCqVwvMXLuzCvrTly5cLCMbq1avJzc1l+fLlOBwO8vLySE9PRyKRcPbsWYGpb2xsxOVykZGRIWTg8/PzZGZmCiiRVqtlYGAAh8PB119/TWZmJtevX8fhcPDll19iMpm4ceMG6enpoitrs9m4evUqgUCA7OxsnE4nk5OT5OXlifHf5cuX093dzcTEBD6fj5mZGb777jvsdrsoINva2qisrOSvf/0rZWVlmM1moS0IKxFiYmJEZ0kqlRIXF4darUYqlVJWVgaA2+1mZGREFJAVFRXk5uZiNBqJj48XTsqbN28yPDxMVlYWp0+f5plnniExMRG9Xs/w8DCJiYkkJCSIIszn8zE0NIRGoxHjt3a7ncWLF4tdvWXLljE4OIjdbkcmk9He3o5CoRD6hvCYZCAQwOFwCFhKamoqcXFxYgQ43N11u9309/cTExODWq0W0BSPx4Nc/n3ZZbFYSE9PZ8mSJWRkZIix3aeffvrv7sBFCrhIIokkkkgi+QEnGAzS0tKC3W5n5cqVYmTv1Vdf5csvvxT7HyaTCaPRSENDA3l5eZw9exa1Wk1SUhI1NTXk5eXR0NCA3W5n0aJFnD17lvn5eWZnZ8nKykKn0zE5OYlWq+XgwYP8+Mc/ZufOnWLnJbxsf/LkSc6ePcvw8DBr164Vo3Jms5nW1lbuvfde3nzzTcrKyvjqq6+oqanhd7/7HXa7HafTSUlJCX6/n3/4h3/gpZde4ssvv2RwcBCtVit8YR0dHSiVSrZu3UpTUxNxcXEMDQ0RFxcnDp+pqalUV1czNDTEzZs3BZHPZrNRWFjI+fPn2bBhAwcPHsTn8wkCXF1dHbfffjvvvPOO8GyFwRth0EbYlxUm2lVVVYlRLq/Xy/T0NNnZ2SQlJQnISVFREV1dXbS0tFBUVMTx48fZuXMnBw4cwO128+Mf/5jDhw/j8Xiw2+0cPXqU2tpaMjMzyczMpLi4mMnJSfR6vZBO9/X1sXHjRi5dukRtbS2bN2/mwoULSKVSMQ4XxtdbLBbhA5PJZASDQXFQDAaDZGdnU1lZSXt7O+fOnRMjnUuXLuXGjRuoVCqys7Ox2WxCCB4MBsVYaLirYLFYxMibx+MRVEelUkkoFCI5ORmXy4VKpRKybZfLRXZ2Nn6/n66uLrxeL93d3ej1eiG9DsMmDAYDRqORubk50R08efIkMpmMI0eOcOedd+JyudDr9ZSVlTE/P49araa8vJy33nqLZcuWkZeXR3FxMWq1mr1797Jnzx7Gx8d55pln8Pv9bN68mb6+Pu655x4eeeQR6urq+PDDD9myZQs5OTlIpd8PqD3//PN4PB7m5+fFqPLVq1d5/fXXGR4exm63Y7VaiY2Npbu7m88++4znnntOkDk3bdpEYmIiWVlZ3HvvvTQ1NfHkk09y4cIFzp07h9FoRC6Xk5WVhVKppKysTBS/Yfrkhg0bOHr0KCaTiYqKCtLS0pDJZAwODuJyubhy5QqLFi0S44X5+fnExcVx//3389JLL3H8+HHRuVqzZg3d3d1YLBYaGhpE10un04lufUJCAoFAAKPRiNFoJD8/H5fLxcLCgihUVCoVAPX19QSDQYqKikhPT8fr9dLX18fSpUsZGxvD5XJRUFCAVqvFbrdjNBqB731zMpmM7OxsscuqUqmYmprCaDSSk5NDRUWFGNNdvXo1Z86cESqTlJQUzp07R3NzM6tWrWLTpk2EQiEBQYqLixNFV5iYOTExQXx8PPD96LBUKmV6epqkpCTh1YuNjWXJkiX4/X5Bc42OjmZyclKMGkskEgYGBtDr9QwNDaHVagWd1Wg00tXVRXp6OlNTU8TGxhIVFSVGO8N7x3q9nqmpKfE1BAIB3G43x44do7Cw8O/6XIiMUEYSSSSRRBLJDzgdHR20trYyNzfH8uXL0Wg06PV6Ojs7OXPmDGlpaZSWlrJy5UoAbrnlFlQqFTdu3MDj8eDz+Thz5gzt7e10d3fT19fH5cuX6e7uFnRJp9MpdsuOHDnC1q1bxZhRdHS0oOD19fXR3t6OSqUSZLWwOPj8+fPs2rWL7du3Mz4+zsWLF1mxYgV/+ctfOHz4MHFxcUxPT/Pee++JgubYsWNkZmaSnp6OXq9n6dKlREdHU1BQgM1mIz4+nkAgIIoas9mMyWTC5XKhVCp54YUXkEql9Pf3c//99/PYY48RHx/PqVOnxP7JQw89xIoVK0hISBAHt7DSIDc3F7/fL5xU4dt8qVQqDm4TExOEQiEBKDGbzbjdbgKBAImJiRQVFYmDfFjy7XK5MJlM/PnPfxYH25MnT4oR15SUFP7pn/4JvV5PR0cHO3bs4NSpU4LAODMzg1qtZuPGjRw4cACHw4Hdbuedd97B4XBw6623YjQaWbFiBSkpKbS2tlJUVER7ezvXr1/HarVSUFBAQUEBXq9XkPCOHz/OiRMnCAQC5OTkUFdXx8jIiPC/5ebm4vP5kEqlgk4Z7mio1WpmZmaIjo4WguKoqCgcDofwsXm9XsbHxzEYDLhcLnw+nwDJAGg0Gjwejyia5XK52DULj2R2d3dz5coViouLcbvdxMXFYbfbhTYg3DmSyWT09vZy5MgRnE4nn3/+OWazmcnJSVJTU3E6nYyMjBAKhbj77rt5/fXX2bFjB3V1dczOzmI2m6msrKSmpoajR49iNpvp7u7G4XBw8eJFfvvb32K1WrFarTgcDnp6etBqtbS0tHDs2DHi4+MpLS3l+eefZ/fu3Tz44IO8/PLL1NfXiz279PR0du/ejUQi4b333uPtt9+mra2NjRs3UlRUREFBAQsLC1y/fh2LxYLL5RJjiRMTEwSDQY4ePYpCoaC+vp4XXngBh8PBkSNHOHHiBKOjo4RCIU6dOsWqVavIz89namqK7u5urFaroFKmp6cLaE1XVxfnzp3ju+++w+l0olKp8Hq9qFQqQYcMBAKUlZWJy4twhywpKYns7GzUajU1NTWUlJSQnZ3NnXfeSXd3N62trWIEcGRkBK1Wy+TkJNPT04yOjjIwMEB3dzeTk5M4nU5CoZDYKYuKihIQEL/fz8GDB7l69SoWi4W2tja0Wi3Nzc2iOFMoFGi1WhQKBWlpaVRXV4tdu3CXNSwJV6vVYrQzEAhgs9kEKOZ/QnXCo54qlYqysjJB3A0L4AcGBsTO3unTp7HZbDidTjIyMlhYWBC6hujoaFFoy+Vy0a1LSkoS0Jjk5GRmZ2cJBAKo1WqSk5OpqakRJNj/K5EOXCSRRBJJJJH8wFNXV8fhw4fx+XyYTCY8Hg8XLlygrq6O//qv/wK+1w2UlJQwPT1NV1cXycnJqFQqZmdnWbx4Mb29veJA19zcTF5eHlu2bOHixYuMjY3R19dHU1MT69evJzU1VRDvwlCK8LjWsmXLOHDgAAMDA+h0OsbGxli7di1r165l0aJF4vAUDAb55JNPRMdvdnZW3MyfOnVKCJLDh8b29nYmJiawWq2EQiFqamq4fv06KSkp9PX18f777xMbG0tGRgYFBQWcP39ejGyGKX4SiYRFixYBYLPZWLZsGSqVitzcXAYGBti4cSN1dXUEg0H6+voElVOn0zE+Pk5xcTEKhQKHwwFAYmKiECmHiZ1TU1NUVlYSDAbxeDykpaVRVlbG119/jcViobKyEofDgUajYfHixWIsrK+vj8LCQo4fP86TTz7J5cuXcblc5OTkMDc3x2233UZCQgK//OUv+fbbb9Hr9YIEmJ2dzejoKCaTierqas6fP09RUREzMzNcvXqV0tJS4uLi8Hg8jI+Pk5ycTHp6Ounp6Vy4cAG3201OTg6dnZ04nU5+/OMfk5CQwLfffsvY2BjBYJCMjAz8fr/oNoXhJV1dXUilUnG49Xq9OBwO4uLiaGlpQa1WMzs7S0xMDL29vSgUCnJzcykvL6exsZHY2Fh0Oh0KhYKKigqGh4cZHBwkLi5O7CzZbDZxyFYqlVRXVwu/2cLCAsnJyUJK3traikKhEJCK8FjvpUuXqKmpEZ3M2NhYGhsbGRgYEECZwcFBrFYrMpmM0dFRfvvb39LX10dnZycTExO0tLRQVlYmoDVNTU3o9Xqefvpp+vv7+eMf/8iPfvQjJiYmkMlkvPHGG1RXV2OxWEhKSmJ+fp7a2lpWr14tdrR+97vf0dvbK3bdLBYLZrOZo0eP4vf7+dWvfsWSJUt47bXXiIuLIzU1VVAZw5oHlUoluqV/+tOfWLt2LR6PhyeeeIJnnnmGjIwM+vr6KCsrY+vWrfzbv/0bCQkJ3HfffUxMTDA2NsZtt93G6tWrxVhweno6TU1NrFq1Cp/PJ6AhY2Nj+Hw+Fi1ahFQqJSUlRYxshkIhJiYmuHbtGsnJyVgsFuRyOTKZjEAgwNmzZ4mPj2fRokUsX76cgYEBIb7XaDSiiAlfkAwMDOB2u4mJiWFqako408I/qywWC3a7HZPJRFRUFGlpaSQkJKDVanG73ZSXl6NWq/H7/aJT2N/fz9zcnHivdnR0kJOTQ3x8PH6/H5lMJrp14dHOQCCAVqslLy8Pu91OYmIibrebmzdv4vF4KC0tpaurC4VCwczMjKD+hkIhJicniYuLw2AwiD06rVaLRqPB6/WKx0pLS2Nqagq9Xo/dbsfv91NQUCAmE5KSkjCbzULZ8H8lUsBFEkkkkUQSyQ84FRUVvPPOO+Tl5WE2mzl//jx1dXUsXbqUL774gsbGRiHEdTgcTExMkJeXx82bN0UX4ubNm0xMTAivUtj/ND09TVVVFW+99RYKhULcsE9PT6PVagWwQaFQYLPZ6OzspL6+npmZGXJyclAoFLz44oukpKT8P+y9eXDb9Z3//9Bh3bIO25Il3/cVXzHOfQcoRyAkUGiYQo9fuy0tC91Od7szdLe73z267dJ2O93SLj0WykAhnAlnSEJCCEnsXLbjxHZs+ZJly5Jl2bos6/z9QT/vaWe+M+1s+/t+29/oNcMQMgmy9JGt9+vzfD4fT06dOiXuoPf09LCwsMDU1BT19fWYTCYBkkilUgwPD/OVr3yF9vZ2ZmdnmZiY4OGHHxZFzJIiIXVtabVa9u3bx/DwMOl0GpVKxdq1azl27Bg9PT1ks1mmpqZ46KGHeOihh1haWuJzn/scZ86c4cSJE+Tl5dHd3U1jYyNDQ0M88cQT/PznP2d2dlaU+ZaXl+P1etHr9SQSCUEtrKioYHl5WSwoLS0trK6uCohDLBYTd+yPHz/O4uIizc3NomD63Xffpb6+XthbV1dXGR0d5b333mPbtm3CGrhr1y6WlpYoKyuju7ub0tJSTp06RTAYJBqN0tXVJVS0/Px87r//fiYmJrjnnnuYnZ3l3XffpaamRqhc0vVvamoSFQIf+9jH8Hg8jIyMiIOi1+sV/VgS8GFlZYWlpSVqamrYtWsX77zzDhqNBqVSKWARy8vLFBYWigzkwMAAnZ2dLC8vYzab8fl84tC+Zs0aIpEI58+fF2CUy5cvU1VVRSQSwePxiG6uTCZDLBZDp9OJJaizsxOdTicseHl5eeTl5ZHJZLhy5Qpms1kcmC9evIhWq8XlcnHhwgUCgQBFRUXk5+fT2tpKc3MzAwMDlJSUMD09TV1dHd3d3QQCAc6fP08kEuHTn/40kUiE06dPMz8/z7/8y79QXl7OP/zDP3DHHXfgcDiExfXw4cPYbDY6OzuZmJigoqKCZ599lqeeeoqf//znfP7zn+ev//qvaW1t5W/+5m94//33cTgcdHZ20t3djcViEaqQ9Hr84he/ID8/XyyDfX19FBUVcfDgQUpKSnjmmWc4f/48zzzzDHfffTfvvfcesViMTZs2UV1dzfDwMJ/85CfFdd69ezeDg4NMTk7y0EMPkU6ncbvdWK1WsTRLUJ/29nZGR0exWCysrq6i0WjEEifVhUiF21K9xdWrVyktLeXSpUt0d3fT2tqKWq0Wi9Dk5KSgPErXqqamRuTJkskkGo0Gr9eLWq1maWkJnU6HwWCgvLwcmUyGQqGgra0Nv9/PHXfcQXV1NRs2bGB8fJzTp0+j1+tF5+FvqnRVVVUkEgmqqqqE3Vyi7dpsNhQKBVarlUuXLmEwGKiqqmJ0dPS36jtMJpMAMxkMBq5evYrD4cBgMDA7O1erh6AAACAASURBVIvNZmN8fJy6ujoymQzBYFDYcNVqtbCYWywW4KOy8UgkIuo5RkdHRbG9lJP7XZOzUOYmN7nJTW5y8yc8ly9fpqGhgenpaWZmZnjppZd4/vnnCQaDTExM0NraisPhoKioCJlMRiAQoKysDJvNht1uFwCTTCYj7vxms1luuOEG3G43o6Oj7NmzB5vNRltbGy6XC71ez+zsLFu2bBH2yUAgwKZNm+jt7aW0tFSQ02ZmZgT5bW5ujg8//JCZmRlUKhXxeJz169fT0dFBXl4ecrkcs9ksEPzV1dXcc889HDhwAKPRyIYNGzhz5oxAnEsgAI1Gw4kTJ+jv7+fMmTMcO3aMq1evolQq8Xg83HLLLRw5coRjx46xuLjIs88+S19fH3V1dXR2dgq8++rqKrt372Z6elqobxJUQerTk4qFM5kMiURCqEOSVVBS7GZmZohEIiQSCRKJBNXV1XziE59gcXGR3t5eQfDbuXMnmzdvxuVyUVRUxM6dO3nppZfYtm0bBoOBY8eO0dTURF9fH36/H5PJxAcffMB3v/tdtm7dSlFRkch19fX1kclkqK2t5eWXX0alUnH9+nUSiQRFRUWo1WoWFhZYXl7G5XKJninpOp0+fZpAIMDi4iLnz5+nurqazs5O9Ho94+PjRCIRvF4vhYWFbNmyhXQ6zfz8PAUFBYyPj+P3+1EqlUKRu3LlCh6PR2SJlpeXWVlZEQuFxWIRqqWUpxscHMRoNFJbW4vf7+eZZ57BZDJhs9n48MMPGRwcZHV1FYfDIQigCoVClCs3NDRQVVXFmjVrRO5TIq5KfXIGg4FIJIJCoRAKUGFhoVCjdDodW7duFWqXy+VCpVKh1+spLy+ntLRU9PjNzs5y6tQppqamCAaDfPvb32bDhg18/vOf5+rVq6xbt462tjbeffdd9Ho9X/7yl/n85z/PCy+8QHd3N0eOHOHcuXOcPn2a9957j1AoxGuvvcYPfvADhoaG+P73v89DDz3E448/zg9/+ENOnTpFJpPB7/eTTCbZsGEDa9euZWhoiAMHDvCZz3yG//7v/yYYDPL0009z9OhRTp8+zbPPPsuXv/xlrl+/TiaTIRKJUFFRwZo1a+jv72d+fl7YLgcGBli7di179uwBEAuPTCajpaVFWFzj8TgTExNiYRsZGRH9cteuXRPQEqnYeu3atUxMTHD58mXefPNNQqGQuJYAi4uLhEIhfD4fyWSS3t5ezpw5w/DwMOfOnSMej4u8ZXV1NQAqlUpYeHt6erjhhhsIh8NYrVZkMhlzc3O8/vrrortSWpKk/kKFQoFer2d6elpQNyXlzeVyiR7Aqqoq7Ha7eK75+fk4HA7RzwagVCqJxWLk5+cTi8Xw+XzY7XZho+zp6RE5N4/Hg1KpFGq83W4nkUiIpVW6YRKPx0kmk1RUVKDRaEilUr/X54Ism83+UT9o/icjk8n+738RuclNbnKTm/9TczGbzd7wf/uL+HOZ9vb27NDQEB988AH19fVMT0/zyiuvEI/HCYVC/OpXv+LgwYNUVFTQ0tIiwA8jIyOoVCr27dvHj370I6qqqigvLxcF21JGzGQyMT4+zokTJwAYHBwUOQy5XM7c3ByFhYWEw2Ha29tpbGwkFouJfIfUn1ZaWsquXbswmUzicFRQUMDu3btxu92MjY3h9Xq55ZZbRLH2uXPnMBqNABw5coS6ujpkMhm1tbUMDQ1RXFxMX18ff/d3f0d5eTlf/OIXWVhY4PLly9TU1HDt2jXgo7LzdDrNmjVraG9v55vf/CaVlZXMzc1RXFzMyMiI6GdyuVxCIZT65/R6PWq1WtD/3G433/rWt5ifn+c73/kOjz/+OBs3bqSlpYWBgQGqq6tF5gw+uqM+OTlJUVERV65cERmfxsZGoWLU1dXx1ltvCareqVOnaGtro6uri5MnT3Lvvffy/PPPEw6HufPOOzlz5gwXL15k3759vPzyy8jlctatW8fFixfR6/WYzWbkcjlOp5POzk6eeeYZHnjgAaHwSQf4l156ie9973sEAgFOnjzJ6OgoBw4coLCwkMnJSUpLS4X6MTs7S319PZOTkwBiyV1cXBT5tkAgIIrN5+bmSCaTxONxQaIsKSlh/fr1qNVqMpmMUBQkCuXCwgLhcFgAaYaHh2lpacFoNAql71vf+hZf//rXxTJXV1eHw+EQqoVSqSSTyVBcXEw2mxWWw2g0SiqVQi6XC2qgtKyvrKygUChE36FUc2AymRgbGyMWi4nnFYvFWFlZQa/XE4lEUKvV7N+/H5PJhNVqRaFQMDg4iEwmw+/3i2qGcDjM66+/TjgcFpUA5eXlpFIpOjo6xOs1NjaGyWQSNzaUSqXIeC4sLKDT6bBaraxdu5aFhQUaGxv5yU9+Ql1dHcFgEI1Gg0wmY35+npMnT6JWq3nvvfdQq9X87Gc/I51O86Mf/Yi6ujrOnDmD3W6nr6+Phx9+GID77rsPs9kMQCAQ4NKlSzQ1NVFaWsrc3Bwej4cHHniAV155RZAvo9Eo+fn51NbWcv36dUwmE8FgkKWlJWFHPHXqFHK5nGg0KiyJWq2WL33pS8zMzFBYWCjU2dOnTxMMBlEoFFgsFtra2igtLaW6uhqVSiUyanNzc5SVlQmASn19PWazmdHRUX75y19SVFREUVERN9xwA/v372fjxo309vZy+vRplEolra2tpNNp8XNGLpeLbKXP52NpaYny8nKRpZPqDVwuF8lkEkDcKPJ4PGIhkyoMJOtyKpUiGo2K6ovi4mLx2MlkkkgkIjKfmUxGKI3BYJDp6WlCoRAKhYLh4WESiYTsd30u5CyUuclNbnKTm9z8CU8ikcDn8/HWW28RiUQIBoPk5eXx/e9/n8HBQbZv347D4SAej4suOJ1Ox/r16wXo4cc//jGxWAyj0UgikRCHTQmZr1Ao6O3tpa6ujkcffZSvf/3r7Ny5k5/+9KesW7eOpqYmhoaGqKmpIZvNkkqlBFpcp9PR1tbGQw89xMLCAmVlZbjdbux2Ozt37iQSiWA0GrnjjjsYHBzEbreTl5cnDuYSWGTr1q14PB4sFgsffPABNTU19Pb2otPpcDgcjI+Ps7q6SmtrKzU1NSwsLNDc3IxcLhd2v5dffpmvfvWr1NXVEYvF6O3tRaVSMT09TWtrK5OTkwwNDTExMSEgClLnlFS+G41GGRsbY3x8HIVCgcfjYWFhgZaWFmQyGSUlJahUKgFZmZ2dZXh4GK/XK6h0UvfThQsXWLt2LdeuXSMYDLJx40ZSqRQXLlygs7MTp9PJj370I7Zs2UJPTw+pVIrGxkaCwSDZbJbq6moBgOnq6uLZZ5/F7XaL183hcBAKhXjooYfQarW8/fbbeL1etmzZwpe+9CV+9rOfceDAAYqKigTO3Gg0smvXLlEB4HK58Pl83HXXXTQ3NwvFZf/+/aTTaUwmE6+++iqrq6uEw2EaGxuZmZkhHo+j1+sBsNlsTExM4HQ6UavVDA4OUlxcTEFBAW63W3TfdXR0oFQqqa2tJRQKMTY2JsqQpfJmpVLJnj17UCgUJBIJVCqVsPPp9XoBnpDet9KylU6nyc/PF3/G7/ej0WhQKBSEw2FUKhWJRAK1Ws3k5CRarZaCggLR3zU+Pk4qlSKTybC6uorb7WZ5eRm9Xk9raysffvgh3d3dxGIxZmdnGRkZQS6Xo1KpRO5UIjoqFAoqKytFl2AgEKC8vJyGhgauXbuGVqsVVmAJtR8IBLjpppuEnVBaREOhEE8//TQKhYLp6Wlqa2txOp34fD7MZjNf+MIXWFxc5LnnnhM5RY/Hw/vvv89NN93Eiy++iNfr5cknn2TTpk2EQiGhNiuVSpE98/l85OXlkc1mqaqqIhwO4/P5KC8vZ3R0FK1Wi0KhEDdrxsfHkcvlrF27lkAgIFTZhYUFXC4XeXl59Pf385nPfIaJiQkaGxtpa2ujqqoKi8VCa2sr586d44UXXhDX2mg0Eg6H0Wq1JBIJQZJUqVRotVqCwSBKpZKVlRVsNhs33ngjmzdvFtUY4XAYk8nEunXrWFpaYmBgQFB2o9GoKNsGiEQiIncmKeqSGr26uip+jkpqpkKhwOl0ClqnBCBJJpMsLi5SVFQEfFTBIlVlSK4HadHTaDSCrirZzQEymQz19fVcuHBB/N7vmtwCl5vc5CY3ucnNn/hUVlby3e9+F7vdLgqN161bx+c+9zm++c1vUl9fj1wuZ3JykvHxcQwGA62trVy+fJkLFy7Q3NyMw+EgmUzidDr5/ve/T01NDZlMhpqamt8q/D19+jSHDx/ma1/7Gt/4xjdYWlpiamqKaDQqFLtYLEYgEGDXrl0iYyVh6v1+P7W1tWzdupWCggJ6e3sFyOPDDz/ks5/9LCaTibNnzzI9Pc1f/dVfIZfLWVxc5Ny5cxw8eJD29nauX78uCrMtFgubNm3in/7pn4hGoyiVSi5fvsz69evFHfWFhQWampqETXNiYkKUeEtqXiqVIh6P43a7ef/991m/fj2dnZ3i0Jufn08ymRSHPEndam9vZ3FxUfR4+f1+MpmMKCWWSI5SnUMymaS4uBiNRsPIyIggOXq9XhYXFykvLxdFyQ8++CA2m42ZmRkBODh48CBr166lra0Nm80m/qxOpyMSibC0tERFRQWJRILTp0+zefNmysvL0el03HLLLaRSKR5++GEOHz6M0+nkjTfeQKfTcd9994letPz8fJH7q6+vZ2FhQdi5HnroIYaGhoSqEA6HSafTbN26lampKZaXlyktLWVsbIyuri7Onj2LxWKhoKCAW265RVQn+P1+AHQ6HXa7HYfDgUqlwufzMTU1RSAQIBKJEA6HSSaTmM1mUbAcjUZF75ZkaZPydxI4Ix6PC3ubpM4ZDAbC4TCRSASZTCaoraurq8TjccrLyzGbzQK+Eg6HicViAp8vWe8kMqPBYGBmZgaAS5cuUVFRQSwWE2j6bDaLSqXCZrORSCRwu92Ul5fjdDrJz88nHo8TCATIZrNotVo2btwo7M/Ly8uiPsNoNIolyufzCQS+BABxOp2ik08ioyYSCc6dO4fX62X9+vUCR79161bOnz/PV7/6VV5++WXC4TA1NTUCrvHmm29iNptRKBRITjxpGVepVIyOjlJXV4fP5xMWyHA4jEwmExAbp9NJbW2tqL7o6+vj2rVrolvOYDBQUVHBiy++yF/+5V+iVCo5fvw4FRUVnDp1iptvvpmNGzcSj8d58cUXsdls4ueA1WpFr9eLigHpxonNZqOgoICZmRkSiQQ1NTVUVVVx/vx5KioqsNls/OIXv+DBBx+koKCAXbt2iX5BKcMmZX0nJycFyl+CnkjX2W63C4hPKBRCqVRiMpmYnp4mGo1iNpt/a8GWah/KyspET2JLS4sAqGQyGZaWllCpVKTTaaLRKDKZDJVKRVNTE0qlknA4TEVFBT6f7/f6TMhl4HKTm9zkJje5+RMenU5HT08P4XCYQCAAfJRZCQQCKJVKpqenaW9vp6ysjKamJjZs2IDL5cJutwv8toQaX15eZnp6moWFBebn57l+/TrJZFIsJH//93/Piy++SElJCY8//riwPFVWVlJRUcHc3BxarZYLFy6QyWQwGAwCmQ3gdrtRKBQCHT4wMMB9991HeXk53d3dPPTQQzQ0NDA3N8fo6CipVIr+/n68Xi8qlYonn3xSqCnV1dWirHxycpLa2lqmpqb48MMP6erq4rbbbgMQNQhPPfUULpeLsbExqqqqcDqdbNq0CaPRSFNTE36/n6GhIUKhEPF4nOLiYnHgX11dpaSkhNbWVpxOJwUFBRQWFqJWq0XJbzqdJhaLcfbsWRoaGoR9LBqNMjExgVqtRqPRCDKjRqPB4XAgk8kYHx+nsLCQYDCIxWLBZDLx1ltviYyMtFhs2rSJ+fl57rjjDrRaLc8//zwWi4WDBw8KMuTKyoogkh46dIhkMonX62VgYIBAIEAoFOKFF14Q2cjr169jNptRqVR4PB62bt3KrbfeikKhIBgMilxQKBQSWba5uTlisZj4p7a2VkBZhoeHUalUrK6u0tbWJgAp8XicvXv34nQ6OXToEAaDgRtvvJGioiLx3D/88EP6+/uZmpoiEokQiUT48MMPicVighApgUySySTRaBSVSoVMJkMmk4ky6Gg0KtQYtVqNSqWipKSEwsJC0uk0kUiEdDotgBXS35fJZAKWYjAYyGaz6PV66urqaGhoQKPRkJeXR3V1NTfffDMbNmzAarVSUlJCfn6+uF5SF2B+fj5lZWWUlZVRUFAgOhGlrGQikWB1dRWr1UomkyEUCon8lgSraWxspLCwUKji8Xic1tZWuru7sdlsrF+/nl27dmE0GllaWhLQmFQqhdvt5uLFi8hkMjweD8vLywJPH4lEKCkpwW63U1hYiNvtlux5RKNR3njjDY4fP87Zs2eZnJwU6rTb7UatVlNbW4vFYiGTyQhCqbT0AMhkMkZHR9HpdAwPD1NSUoLFYkGpVLJx40ZuvPFGduzYIfoXJYBMfX29eD/Mz89z//3384//+I+sXbsWt9stehKlTjelUin630pKSn6rz81kMuHxeDCZTGLxdLvduFwuKisrcTqd3HbbbSwtLYmbV3q9XpSna7VaKisrkclkOJ1OYbGVfh5JqpvUAVdcXCxotJLVE8BgMNDU1EQikUCn0wk7rASekm4iSKXgKpWKoqIiHA4HqVRKKLKSGvr7TG6By01ucpOb3OTmT3hGRkbYtm0bFRUVOJ1OcQh5/vnn8fv9xONxAN59912KioqYnp6mpaWFc+fOYbPZ0Ov1onD6/fffZ2ZmBr1ez9NPP83x48d59tlnOX36NN/97ne56667uPfee/F4PDgcDvR6PZlMRhRN2+12pqamhA1q7dq1VFdXs2PHDjZv3ozFYsFoNIqiZafTybVr1+jq6sJutwvKYygUwmKxUF9fj8FgYGpqitdffx2r1Up+fj5LS0tUVVWRl5fH1NQUbW1tTE1N0dTUhFar5cqVK9x4441s2bKF5uZmCgoKaG5u5sSJE3R1dQmbm8vloqqqikwmw86dO2lpaeHy5cu0t7cLGIjP5xOHcUnxsdlsrK6uMj4+jtlspri4mHQ6LSyXIyMjlJSUMDY2xpUrVwDIZrMUFhZSXl6Oz+fD6/USi8VobGxEp9Nx8eJFFhYW8Pv99PX1ceedd1JZWYnP50MmkzE5OckPfvADKisruX79OgMDAwI1vn79eurr6zl8+DCnT5+ms7OTf/3Xf0WpVLJhwwZCoRBDQ0MUFhYyPj7OgQMHWFhY4Bvf+AZjY2PiAC+psLW1tVRXVzM2NkZjY6PI8/n9fsxmM8vLy6RSKSKRCNeuXWNmZoa8vDxaW1spLS3F6XQKBfDQoUNs2bKFZ599loaGBgYGBti3b59Av1utVnw+HwsLC3R2dqLVajl58qSoO2hra0OtVlNaWkpzczN6vV7UEchkMlZWVsjPzwc+Utmi0SiZTAadTodcLhfZqHQ6TSAQYH5+Hr/fz8zMDLFYjHg8TjqdRqFQCCuetIBK4J9YLIZcLhfF1QUFBVgsFqqqqmhoaKC+vp6KigqKi4sF5bOyspLm5mbKyspEd5ikQldWVlJSUkJFRQV1dXUCuCIprxK2XloYU6mU6GErLS3F4/Hg9XrFsmgwGGhoaKC7u1tYeKUCeYfDIXD558+f55e//CUvvvgigUBA2B0lhW9sbIzh4WGRMy0qKsJoNLK8vEwikWBiYoK+vj7x/fmbiqRcLsflcgklXq1WE4/HCQaDmEwmCgoKaG1tZffu3XR1ddHY2IjdbqeqqoqVlRWsVisDAwOo1Wruuusu6urquOGGG/jpT38qLJzSNZSsiVK+rbKyku3btwvVSi6XEwgEiEajgq559uxZhoeHuX79OmNjY+Jrbm5u5p577iEWi2EymbjhhhvQaDRotVrWrFmDx+MRNliNRkNJSQnz8/MiQ2mxWMTCaTQaqaysFDd37Ha7yCOm02lsNpvIyTmdTiKRiLjBZDKZRBYzGo2yvLwsoChLS0uo1WqcTie/L5skZ6HMTW5yk5vc5OZPeFKpFB6Ph6NHj+Jyubh48SKJRILJyUnsdjvNzc2sW7eO+++/n1/96ldMTk7y8MMPc/bsWYqKigiFQnznO98hmUzS0tLCT3/6U44fP87FixdpaWnB5XJx+vRpbr31VhKJBK+++iotLS0UFBRw6tQpurq6uHz5srDuNTU1MTw8zI4dO9izZ4+Am+Tl5QmYhLQwBoNBrFYrV65cEcXE3/ve95DJZJSVlbF37156enoYGBjA7/ezY8cOxsbGUKlUnDlzBpVKxdWrV7nllluIx+P09/dTWFgIQEFBAQaDQVQLdHV1MT4+zsDAAGVlZXz2s59ldHSUs2fPEo1GKS4u5rnnnmPfvn1cu3ZNFF2XlJSwtLTE8PCwyBep1WqRi4GP7vRfv35dWAAl0IvJZALAaDSysrLC6uqquG5yuVyQKpubm1lZWWFkZIRYLIZGoxF9aGq1mpWVFfLy8ti6dauAG0iv0dmzZ6mpqRGdZA0NDSSTSdavX095eTlnz55ldHQUh8PBk08+ySOPPILNZuPq1auYzWbWrFmDSqViz549WCwWAdeQiril7rdgMEhbWxsjIyP4fD4qKyuFKnPt2jXuvPNO0aOl0WiEpfRTn/oUd999N8ePHycvL49//ud/5i/+4i+4ePEig4ODYok1Go28/vrryOVyKisr6ejooLe3l0wmQ3V1tVC3wuEwa9euRavViv44iXIqKZtSDioWiwnFS1o0TCaTKLA3m814PB7RzSUtMnl5eSSTSRKJBIDIZBoMBrFUAWJ5NJvNImMnLQIOh0MAKVKpFFNTU8hkMkwmEzqdToBmFhcXBVESEBh96fGXl5cpKCgQ9tDV1VWhIko3NyS7p5TLDIfDIqsn5dak7kKJdBiJRCgsLCQUCtHd3c3Y2BglJSXEYjEWFhaQyWTk5eWJUmm73U40GiWdTrNr1y5++MMfsrCwIBYM6f0yNzdHR0cHBoOBQCAg1OxUKoXRaOT2228nGo2KPG5HRwePPvooc3NzqNVqvv3tb7Nz504aGxtZv349U1NTHDlyhNnZWZaWlsRr63A46OjooKysDIPBIABDi4uLLCws4PF4iMfjzM7OIpfLKS4uZnp6mmw2i9/vJz8/n6KiIrFI/eIXvxA5zuLiYmFDraqqEhlFn8+H3+8XOH/pZo1WqxXLo1KpFO8VhUJBeXm5yFtKOc2CggJUKpVQS2tra3G73UIxTCaTwuqbzWbF9QoEArki79zkJje5yU1u/v8w2WyWdevW8YUvfAGHw8Grr77Ktm3bmJqa4jOf+Qy1tbVkMhlmZmaQy+UihB+Px2lsbCQSibB//36MRiNWq1Wgspubm2lra6O4uJj777+fw4cPU1JSwsTEBOFwmLvvvpu8vDx+9rOf4Xa70Wg0lJWV0d/fz6OPPspPf/pTbr31VlQqFSdPnmRoaEiQByXyolQEvHnzZnp7e4UdbGBggPz8fKampjCbzezYsQOXy0V9fT3FxcX09PQwOzuLVqvlscce45FHHmFkZASn04nZbGbDhg0cO3aM0dFRZmdnxbLS2NiI0+mktbWVq1evsrKywlNPPcXi4iKvvPIKhw8fxm63c/nyZWQyGVNTU7jdboxGIxUVFSiVStHp1NjYyH/8x3+IRcvlcrG8vIzdbheHrWAwSCQSEdTD1tZWkcmS6JwS1ry6uprCwkKuXLmC0+lkZmZG0DYB0uk0J0+epLm5mdraWg4dOsS2bdv40Y9+xL/+679y9913c+TIEd588020Wi3nzp1j9+7d9Pf3Mzg4SG1tLdu3b+exxx7jYx/7mLDGwkdF8NevX8dms3H27FnKy8vZtm0bSqWSc+fOEY1GaW9vF1j0srIyRkZGCAaDtLS0sH37dp5//nnWr1/P3r17uXTpEhqNBpvNRlNTE7W1tczMzJBKpXjmmWdob29n+/btHD16lImJCXw+H7W1tQKRvry8LPD7VVVVIuukVqsJh8P4/X4Bc5BKwvPy8gRIQ1rYpMNvOp0WNs5EIiFycrFYDIPBQDqdRiaTidyahHpPpVJoNBqhrGo0GkENlGApmUxGWPYAAR0xGAwCkx+Px7Hb7QK4IZE5pcJvKW8mqYrRaFQsJdIiGI/HhbqnUChEViqRSAjyp5QFk7oJ6+vrxfdcLBYTgCKTycTMzIxQdoLBIAUFBdTW1goVc2VlRYA3ysrKSKVSFBQU4HK5aGtrE7ZPySao1WqZmppCrVYzNzeHRqOhpaWFcDgsKjPm5+f55je/icPhQKvVMjg4yOzsLF/96lfp6+vD7XbT1dXF5OSkALE8/fTTrF+/ntXVVTweD2vWrKGvr49YLCbs4Pv27cPpdAobZCAQwOFwcO7cOaanp1GpVAJGYrFYKCsrE32OP/nJT9i6dStOp5OysjKeeeYZUqmU+Bql72fpxpOkQMNHQBKJXipBm4LBIF1dXWg0Gq5cucLy8jLbtm3D7XZjMBhE2blMJhNZTgluVFpayujoKHa7HZ/PRzgcpqysTNzoWlhYEDcVftf8QQucTCabBMJAGkhls9kbZDKZFXgBqAQmgXuz2WzwD3mc3OQmN7nJTW7+3OaP9Rm5Zs0astksHR0dvPLKK3zhC1/gE5/4BJs2baKsrAyv18u//du/8fDDD/PGG2+wf/9+3nzzTXQ6HYODg7jdbvbt2ye6qvLz83G5XNx5553ceeedeDwe5ubmOH/+vMggGQwGbrrpJkGhGxkZoaurC61Wy969e/nmN78pSoArKysZGBhgZWWFqakprFYr4XBYkP+kagOr1Up/fz9Op5Py8nJ6enoE2l9Cc09PTzM/P4/BYKCvr4+zZ88SiURwuVzi8FlWVoZOpyOVSlFdXS0sUPDRsitZRA8dOkRTUxPHjx+noaGBo0ePYrFYRC+eVIFgNpuJRCLk5eWxfft2qGoH4wAAIABJREFUUqkUNpuNdDpNW1sbtbW1IhOTSCSoqKhgcXFRdEsplUpR2TAzM0NbW5soIpaAK4uLi1y9elWUU0vF4X19fVitVrRaLSdOnKCtrQ2FQsHbb7/Ntm3bqK6uprKykrKyMlpbW3nttddYt24d09PTolh8fHxcWCj9fr+wd83NzdHY2MjnPvc59uzZIyonbr31VuLxOIuLi7z00kvs2bNH5AClfJaUp5O6sIqKiti3bx+bN28mHA6jVCoZHBzEarXS2toqsOiLi4tks1lefPFFzGazUHi2bNmCXq+npqZG2Gil/JFGoyEWi+FwOLBYLCwuLnLLLbcI5aq8vByVSoVarRbUSblcjk6nI5FIkMlkhI1YWoRSqZQo+jYajWSzWQESkTJzUp7MYDCgUqlYXFzEYrGwvLyMRqMRtFeDwUAqlRJ9YiqVCr/fL/r2pMyeZGmUrrm0rEYiEbLZLOl0WjyWZBGUyT6ixUvgFunXMplMdJ8pFAqR6fvNInW9Xi+IkZLyDR8RDSVKYygUwmw2C4U4Pz+faDQqeg8li+T8/DwWi4V0Oi2WYAl4IkF9NBoNer0eg8GAUqkUCpvUPTk9Pc3ly5eZmZlhz549LC8vs2fPHrZs2SLyaNevX8fj8dDZ2clzzz1HYWEhDoeDlZUV6uvrxQ2Z0dFRzp07x2uvvYbX6+Xtt9+moaGBVCpFbW0thYWFzMzM4Pf7cbvdTExMoFQqkclk1NXV4fF4OHfuHMXFxeTn5zM3N0dFRQUGg4E777yTgwcPMj4+jslkwul0igyv1CuXzWaZnp5Gp9OhUqmE4llaWio6EdPpNHl5edTU1Ih+RAn2YzAY8Pl8OJ1OUXovdRJKRF2Jqul0OgWsRqlU0tnZ+Xt9vvwxFLid2Wx24Tf++2+B49ls9t9kMtnf/vq/v/5HeJzc5CY3uclNbv7c5g/+jOzr6wNgw4YN7N+/n+LiYqGQ3HLLLbz11lt85zvfoaOjg89+9rMYjUZcLhfz8/OiZPbTn/40jz76KP39/QIMkM1muXz5Mh6PB61WS11dHa+++qpY8CorKwmHw6jVau677z6y2SwjIyOUlZVRUVHB+Pg4ra2tnD9/nnA4TCgUoqqqimQyicfjYXJykoKCAmpqasThKR6P4/V6SSaTyOVy0aElUQNDoRDT09NMT0/j9/tJp9O89957IjtVU1NDXl4eY2Nj4mAk5Vd8Ph9r1qyhuLiYCxcu8PbbbxOPx9m8eTOf/vSnGR4epqqqCkBUE5jNZtG1JRHnpGJi6XB75MgRLl++LOiTIyMj4nlKnV5TU1O4XC4sFosg2oXDYdatW4fL5aKkpITFxUVkMplYICUgQjKZZHx8nD179tDU1MThw4dZWVnB6XTy7LPPUlRUxOjoKD09Pdx3332oVCoBaxkeHua2224jm83i9XopKipCr9fzxhtvsGvXLhoaGnjiiSd44oknGBsbEzZXn8/H/Pw8H//4x8lms5w9e5ZsNktTUxNnz54lHo8LO98bb7xBIBBg8+bNXL16VRAhGxsb8fl8fOlLXyKbzaLT6Th58iQzMzPcf//9+Hw+YT/LZDL09vbidrtpa2sT1QESfCISiYhrUFlZycTEBB6PR9hlFQoFCoWCVCpFYWGh6HtTKpViuYhEIiSTSTKZjFhyJGVOskGGw2EBqshms8hkMrF8abVafD4fGo2GbDaLwWBAr9cjl8sxGo2k02nxj2SjkyyVmUxGvF6SaqfValGr1QKxL6lzEpJeoVCI1wA+WrwkO2Y6nSaVSmEwGMSyHwgERBZT+n9IWUDJ1gqIayEpOQaDgTVr1rCwsEAgEBAL/4YNG7DZbBQVFTE2NobRaBSqlaQSSuXwCoWC/v5+sahIVkYJclNZWQl81OXocDjEovw3f/M3JBIJKisrsVgsVFRUiBqKxx57DIfDwfHjx6mpqcHhcCCXy5mfn2dmZkZYoiUi6ODgIFVVVQwMDIilWqVSiaU0Ho+zsrJCMplkeXmZsbExduzYQXFxMU6nk3g8TkNDA+fOnWPNmjW88847uFwuiouLAcT7yWw2MzU1JezFknU0Ho8LwIlSqaSkpIRgMChymgUFBcjlcgGT0Wq1orpAUj1tNhvhcJiioiLm5+cF3XZ5eVlAddLp9O/1wfL/hYVyL7Dj179+GjhJboHLTW5yk5vc5Ab+B5+RKpWKjo4OPvWpTzExMUFVVRV6vZ7Kykr+4R/+gWAwyHe/+11sNpuwpi0uLmIymdi9ezfd3d384Ac/EHTE06dPY7VaUSqV3HvvvfT29mKz2VhZWaG6upp3331XqBdFRUVMTU0RDAbZvn075eXlNDY2UlRUhMFgYGRkhImJCWFjamlp4T//8z+FMiHZLpPJJKOjo0xOTnLTTTchl8v55Cc/idvtZmRkhNHRUYqLi1leXhYgFK/XS1dXl7DGLSwssGPHDvx+v6C1JRIJEokEo6OjXLhwgaeeeoqWlhaeeOIJKioqWFlZ4fHHH+dv//Zvuf3223nggQdE7YBEgRscHCSbzVJWVsbw8DAmkwm1Wo3D4eDq1aucOXOGG2+8EZ1OJ5YWqURdpVJx4cIFQXTMz8/H5/OJUl6VSiXInQ6HQwAapANwMBikrKwMu93O0NAQMzMzZLNZ9u7dS39/vzh0q1Qq7rvvPp5//nni8Ti7d+/G6/WKbjuTyYTb7Uar1ZLNZjGbzfT09HD06FEqKyv54IMPcDgcxGIxcR06OjqYnZ3F4/EwPDzM9u3byc/Px+PxkEgkCIVCeDweVldXqa+vZ2Zmhv7+fsxms7guVquVrVu3cuXKFU6dOoXFYqGhoYGTJ0+STCYJBAIkEgmGh4fRaDQCCR+Px4Xq5fV6aW5uZm5ujsnJSTZs2EBxcbFYKqRFzGq1EgqFRL9WJBJBr9ej1+tZWVlBLpdjMplEFkwq5k6n0+KgrVQqCQQCoqxbq9Wi1WqFqifVE0g3ODKZDNlsVnTN6XQ64vG46EI0GAxCwZWWLgnNv7y8jFwuF51ueXl5qNVqsdxIv5bsnEqlUiyI2WwWq9UqSJySlVEul5NMJlGr1aKDTlowFxcXf+vxpWVQ6nOLRqNiYTIYDKIHL5PJUFhYKLJzOp2ObDaLyWRifn4e+AirbzQaKSwsFIuiXC7H7XYTDoeFUtnU1CTe3/39/ULVu3z5Mo2Njdx99924XC5cLhcXLlxg3bp1pFIpXC4Xzz//PI888giXLl3C4/Hg9/spKSnh9OnT1NTUMD4+ztDQkICN2O12YrEYOp2OmZkZSktLRZWDBK1xuVzC9n377bcjl8tFLnjjxo2cPn0amUxGX1+f+HmlUqkEtER6vlIW9vr161gsFvLz88W18Pl8lJSUMDs7i16vp6SkhOHhYdFHKL3fNBoNoVCIwsJCpqensdvtuN1urFaryBFKqvfvM38ohTILvCuTyS7KZLK/+PXv2bPZ7BzAr/9t+wMfIze5yU1ucpObP8f5o3xGNjY2kslkOHToENXV1aKPCRDIcIVCwa233srjjz/OzTffTEdHB1evXuXee+/FZrPxzjvv8P777yOXy5mbm0OpVHLo0CEikQgPPvggt912G8899xxVVVU0Nzej0+mEmlBSUsKuXbvE15Ofn8/AwAADAwOMjIwQCoWQy+U4HA5++MMfMjs7i9/vx+fz4fP5WF5eJhwOi4zakSNHCIfDvPDCC/T09LC8vEwoFGJhYUHk0DZu3MiWLVtoaGigoaGB5uZmjEajqEWQinC3bdsmsmipVIpf/OIXvPLKK+h0OlpaWiguLuZ//a//xf79+/n4xz9OQ0MDeXl5lJaWigO9pDJcunQJmUyGwWDggw8+4OTJk4I2uWHDBiwWCxMTE2i1Ws6cOUM0GsXlcqHT6fD5fOh0OrxeL9PT06L/S6lUiv4tCVSRTqdxu900NjZSUlJCOBxmcXGRpaUl1q1bxw033MDTTz9NMpnE4XDQ39+PyWTixIkTDA4OUlJSQn9/P5WVlcK2+MEHH1BdXc2VK1cIh8O88847vPbaayJfd+nSJWZnZxkfH+epp54SJcLS7zU2NhIKhTh48CBer1fUTUSjUcrLy5mZmeHUqVOiPuH48eO8/vrrzM/PU1hYiFwup7+/n/HxcYxGI5cuXSIQCGA2myksLGRhYQGNRiOgHuFwWMA6QqEQqVSK+vp6kRPr7u4mFAqxsrIiwCPxeFzkCSUQTCgUEmqutDBbLBaRd1tdXRVKqVTibbPZRNYxPz9fLB9FRUVYrVbxdyUFzmq1kkgkKC4uxmQyiQye1WrFaDSKrJP0mkoKmNVqFflIm81GaWmp6LmTbJJSNYGUm5OUOek5SjcJflMN/M33rUQVlZZAvV4vfjYUFhaKhSyTydDd3U0wGCQcDlNbW0tpaSl2u10s/VKvnpSdLCoqwmazUVJSgt/vJxKJ0NjYSHt7uyDNjo2N4fP5BABIouXm5eUJ26vb7aaqqooDBw7gdrs5ePCgUMOkku3bb7+d5eVl3njjDdra2ti4cSM33HADarWa+vp6zGazIF1KS7gE/ykpKaGpqYmamhpaWlqora2lpaWF22+/HaPRKLrpZmdn8Xq9jI+PMzk5ic/no6qqikuXLonXSaFQiMLtwsJCQaKUFuLCwkJB0R0dHRWdbVJ2NC8vj+XlZZxOp7DLWiwW9Ho9JpNJWCWlPjiJACrVX6ysrPwfo1BuzmazszKZzAYclclkw7/vX/z1h9lf/M4/mJvc5CY3ucnNn+f8UT4jZTIZX/7yl0WPlsPhID8/n9LSUrq7u1lcXOTAgQOUlZVx++23i261hYUFTpw4wejoKOl0Gq/Xi91up6SkhKtXr1JUVMTy8jLbt2+nrKyMj33sY3g8HgDq6upIJBJcu3YNhUIhIB9+v5/e3l5mZ2dxOBy0tbWJA4kETIhEItx88834/X6Ki4uJxWL4/X5xEPN6vfj9fkFtnJub48qVK9x6662iY04qC3e73dhsNvbv389dd91FT08Pc3Nz6PV62tvbSSaTAoBRVFTEP/7jP3LlyhWSySRXr16lpaVFqGhSmW9vby8ymYzi4mJsNhs+nw+tVisyfSqVijvuuIMPP/yQkydPYjabicViKBQKvvCFL6DRaKiurmZoaEioHVqtVoAQ2tvbUSgU1NTUsLy8THV1tVC+pBxMQUGBgC7Mz88zOTlJMplkZWWFmZkZgSeXCsJPnDhBOp1m48aNnD9/XhzSS0pKGB0dpbS0lNLSUoHRv3z5Mg6Hg/LycoLBID09PeTn5zM2NsbNN98sFv90Os2aNWuYmZkRS+T+/fs5evQoIyMjgr54/fp10fcnFbt7PB6++MUvUldXx8LCAvfddx/nzp3jzTffZP/+/WzdulVUG9TU1HDixAmSySQzMzN0dHQItai0tFSolMvLy/T29rJv3z6h1EkHYcnSplQqSSQSoj5Aei2WlpaEgvWbVkUpHyl1yGWzWTQaDSsrK0JxkfJHqVSKmpoaUT0gUSalfJNkW5QQ+olEAqPRiFqtxmq1CqiNTCZDoVAIpVutVpNMJkmn06IwWzqwS4d5yQ6ZSqXEczKZTMKaaTabhRInPW9JsZGWXMnWmUqlmJubExbD+fl5wuEwXq8Xn89HX18fXV1dgmCpVquFClhQUMDq6iput1soz1LPXSqVori4mMnJSQKBAHl5eUxMTJDNZnn77bfZu3cvkUiENWvW0NjYyMDAABs2bKC1tVVcY6/XS3l5OalUSqibLpeL1tZWzpw5w89//nMikQi7d+/m85//PCdOnKCuro7Z2Vny8/PR6XR4PB6MRiPRaBSdTkdNTY3o6quoqOCee+4R191qtdLQ0CBU74mJCfE6ezweWltbxfemWq3G5XIhl8sFsMRgMIgbWmVlZcLSbrfbhcUzmUySn58vSLvS+8Hr9YpM8dzcHNFoFKPRKN67eXl5wvIuwagkeM/vmj9ogctms7O//rdPJpO9CqwD5mUymSObzc7JZDIH8L+tFM9ms08CTwLIZLLfb93MTW5yk5vc5ObPZP5Yn5FFRUXZxx9/nFtvvZV3332XkpISXnjhBS5evMixY8fQ6/Xcd999NDU14XK5ePLJJ3nttdfweDx88MEHPProo1RUVFBbW0tPTw/9/f00NDQI3Pnu3bu566670Ov19Pb2Ul1dTUFBAVeuXOHBBx/EYrFw7NgxRkZGuP3222lvb0cul+Pz+TCbzdTU1KDVahkeHqa8vJxdu3axc+dOcce8pKSEl156ibvvvlv0TanVagGC0Ol03HnnnSwtLRGJRCgtLRWEv9bWVgFySKfTVFZW/lbmZ2JiQpR0t7W18clPfpInnniC9957D5/PR1dXF4888giBQACfz8eWLVsYHh4WB+CioiJisRgdHR0UFBRw2223YbVaeeyxx3A6nezZs4cdO3bw8ssvc+zYMbRaLUtLSxw9epSbb76Zd955h0uXLnHvvfeSTCaFajAyMiK6qs6ePYtMJiOVSgloQSaTEVa58vJy9Ho90WgUrVZLR0eHQObLZDJefPFFIpEIs7OzzM3NMT8/z80338zTTz+Nx+PBarUyPj5OJpPh2rVrJJNJtmzZQiQSQafT8d5775FMJllaWqK8vJzBwUF6enpIp9OUlJSwuroqgBVms5ne3l56e3spLi7m7NmzZDIZsQgfO3YMu91OQ0MD4+Pj/OxnP2PHjh2YTCYOHDiAXC7n0qVLPPLIIxQVFWGxWLh27RoXL16koKCAd955B4Dx8XFRAVBeXo5CoWB8fBy9Xs/y8jI/+MEPxCFYyh8Fg0FisRgymey3VCOTyUQoFEKr1YqlMBQKUVBQACDolvF4nEwmI6oFpEVIrVaj1WrFAiepgJK1LZFIYLFYiMViKJVKksmkWGSkBVyqgZA6BAFBg41Go6KWQLJfSiqfRMyUeuCSyaQo/oaPsn9SVYC0sEgQFJlMJpYBpVIpLKSSddJut5Ofny/Q9isrK1gsFlGFIdmFLRaLgG9I31vwUXbObrfT3t4uagQkxL3UU+f1esUCHg6HMZlMFBcXYzQa+dWvfsWjjz6KWq3m6NGjXL16lbGxMfLz83nnnXdYv369+P91dnYyOTmJx+Ph9ddfZ9OmTTzyyCO88cYb3HPPPZw8eRKn0ykqMTo7O5mdnaW8vJwjR46I7OrKygotLS088MADQm1fWFgglUpx8eJF9Ho94XCYsbEx9Hq9qK6QrplUDRIMBqmsrKS+vh6v1ysW9dHRUWw2G5lMhrm5OVKplLDWTk5OCsrv0tKS6ApMJpPMzc1hsVjEe7O8vJxwOEwsFsPpdOJyuUTvnVQ38bvmf2yhlMlkeplMZpR+DdwMDAKHgU/9+o99Cjj0P32M3OQmN7nJTW7+HOeP+RmZl5fH0aNHmZ6e5tvf/jZ/93d/x4ULFwSo5Mc//jHvv/8+3/jGN3j11Vfp6elhcHCQBx54gD179tDR0UF1dTWLi4s0NDQAHyHuX3/9dXEICQaDLC0tiTvDb731Fi+88AIXLlxArVYLeIiUiQoEAtjtdjo7O+ns7KSrq4ubbrqJbDbLuXPn0Gg0bN++nUQigd1uZ8eOHSwtLbFlyxb27dtHdXU1drtdoNMlqMjs7Cy1tbWiNDkYDBKPx4Wy5/f7BSREyuGtW7eOtWvXcuXKFfEcrl27xuzsLO3t7dxxxx2it87r9WK1WllaWmJiYoL5+XmsVivV1dVYLBYOHDhAdXU1mzdvxuPxiFyNWq2mu7ubvXv38uCDDzIxMUEikWDdunWsX7+e8fFxZmZmuHbtmlDKpIO4ZP90OBwie2Wz2cRh7tq1aywtLTE5OSkOfqlUiomJCa5evcquXbswmUwMDQ0xPz/P2rVrOXfuHJs2bUKlUvHaa69RWlrK1NSU6JwqKyujoaGB7du3s379emHBi0QiHDp0iLy8PFpaWhgfH+f999+nqamJ69evc+TIET7zmc9QUFBAZWUlZrOZ+vp6sUB2dnYKpH8oFBJL1NjYGCdPniQej3P33XfjdDrp6enh9OnTmM1mZmdnuX79OpFIBK/Xy+DgICsrK6xfv56qqiqOHj0qlNN9+/YxNDQkMmQSrVEmk4kskQRGkeiSktomESc1Gg0mk0koaPARBl/qkJPySVarVaiRkuVVp9MJGE0mkxH2RGnZk+yR0k0FCdsvLX4SCERSgFQqFWazmXg8LgApUoZTWpylxae4uJiGhgaRs5LJZKjValFbYDAYKCgoEF1y0tekVH6kx0h5NOk5S69fPB4XC9+dd97JmjVryGQy4j0mKZrSwijZMqVFU1Knx8fHmZ2dFaq19PNE6j3z+/1YrVYmJyeJRqNMT09z8uRJ8f5ZWlpiZGQEQNggy8vLMZlMdHR0UFhYiNlsJhAIsLS0xMMPP0xRURFf+9rXaGlpIZFIsLS0RDAY5K677sJoNLJnzx62b9/Otm3b2LlzJxUVFVy9epWhoSFCoRCBQIAzZ85gt9s5deoULpeL1dVVqqqqRN+cRG6VKiNMJhPRaJSxsTHx8ykWi2GxWMT3aE1NDfDR0qdQKCgoKODChQt4PB6h5klgpvz8fKFyKxQKvF6v+LuSMikRfKVl/3fNH6LA2YFXfy3zKoHnstnsOzKZ7DxwUCaT/T/ANPDxP+AxcpOb3OQmN7n5c5w/6mdkKpXi5ZdfZmBggIsXL/JP//RP1NbWcvjwYVFKLfVeSdmZS5cuccstt7B582by8/O5cOEC165dQ6PRiPJgyRo2PDyMTqcTeSKlUsn09LQ49Hd2duL1eunr6+PJJ5+kvb2ds2fP8thjj3H+/Hk2b95MIpHg4YcfFshul8tFZ2cnMzMzbNy4kdHRUYaHh7npppu4ePEiKysrVFRU4HQ6RabH5/ORl5cniqylw6eEm/d4PGg0Gu655x56enrEAijZur7yla+IMueRkRH+67/+i0uXLlFWViYO2BK10O/3c+nSJT796U+LjMrbb7/N8PAwTz/9tKD+DQwMMDExQSqVYtOmTfz7v/+7gJTs3buXiooK3n33Xbq7u9FqtYTDYXQ6ncj9SeqPz+ejvr5eWPkikQharRaLxcLKygrbt28nk8lw6dIliouLGRoaIpvNMjo6it/vp7a2lkAgwHvvvSfw5S+88AKf+tSnGBkZ4fr1/5e9Nw9u+77vvF8AQQIkDuIkeBO8Lx0UKVGHdSvyLdtJE29qp06atLabtLtt6t3tdFNPmrSZZpu6nTb1epKs14kTN04cxY4tW5YsKZZk3RJJiaZ43wcOEgRB3CDA5w/P97P27DPTzE76PNnnwWdGMxmaIUHgB/L7/r3fn9d7mP379wNI55dGo2Fubo6rV6/S19fHjh07aGho4I//+I/55S9/STab5cknn6SpqQmPx0MkEuHs2bMCafnUpz7F6Ogok5OTNDU1UVJSwuDgIL/4xS9YXl7mt3/7tzl16hQ6nY5du3ZJVO7b3/620FJnZmaIRqMsLi5K+XxTUxN2u53BwUEqKirE7VH7dfX19dhsNvLz86XsWNEdlVhRlQEmk0nEnepNUzE0BQpR0UkVvywoKJCi5WQyKbtkyr1Sblomk6GsrEyAKWrfUwF0lpaWpNBZEQcBbDYby8vLFBcXSxxSvb9sNpu85iUlJSwvL4toVAAOFcFUJMNoNAp8sH+qoqImk0ncH0WOVEJTq9UyOjoqzp7aw1pZWRHnORqNEg6HhZiZSqWkW08RZdXNHSUqLBYLKysrWK1WFhYWsNvtVFdXi9CbnZ2lqqqKpaUlqqqq8Pl8XL58mYqKCvk5jEYjN27cIBqN0t/fLx10lZWV7NmzB/igM/HkyZNcvnyZ1tZWXn/9df7dv/t33Lp1i9OnT3PixAnm5uaoqamhuLiYLVu24Pf7qaurY3JyktXVVS5duiRVCclkkrGxMSnsNplMste3trZGMBjE4/FQWFhIPB4X17SmpoaysjKmp6dxuVwkEgnsdrs4kGVlZaRSKW7dukV7ezuVlZU4nU5x+KPRKBqNhkAgINHPoqIiidoqNy+TyZBMJhkfH2fDhg2/0h+Y/20Bt76+Pg5s/r/5+BJw6H/36+YmN7nJTW5y83/6/Dr/RqbTae655x7+9m//lqqqKsLhMG63m76+PhEBily2tLSEzWbj0KFD/N3f/R1er5eqqip6enooLy9ndHSUqqoqiWFZLBaBUExNTZHJZGhsbGRqakqchlAoxIULF4QCGIlEWFlZoaqqigsXLlBcXCxY/+npaV577TUOHz5MQUEBN2/eRKvVcvHiRcxmM2azmZMnTwr5rbe3l40bN1JeXo7b7cbj8eB0Opmbm6O6upoNGzbw9ttvMz8/LxUBoVCIf/zHf+RTn/qU1A9cunSJPXv28PrrrzM2NkZvby8vv/wyFouF73znO3R2dhIKhfB4PCwuLhIOhzGZTNjtdkHNK8CGRqPh/fff57/8l//CE088wY0bN+jp6cHtdjM5OclXvvIVnn32WWZnZ3nhhRf47ne/y9GjR6WLqqurC4fDIVTQdDpNTU0NkUhEUO0FBQU4HA7y8vIIBoPU1tbidru55557JKqVl5fHmTNnCAaDGAwGampqmJycJC8vj46ODi5evMi9997LsWPHmJiYwOPxcPjwYVKplAhvRWRUd/mvXLnC5OQk27dv57nnnpOevZ/85Cf89Kc/FTfx5MmTfOlLX6K9vZ13331XOrvW19c5dOgQQ0ND7Nixg8HBQfLz8ykvL2d5eVliu/X19TidTs6ePQsgu08Gg4HKykrpxTKZTCwuLgqURkFJTp48KbuVVqtVagIU0l7FK2OxGHq9nmg0ilarFXhGfn6+QDkSiYR0n9lsNgoKCpiamhKKo81mkyicitUpCuPS0hLJZFK62AwGg4AqlCgEBEKi9vSUI6OqAZTrplytgoIC6Y/7MMbebrej1+sBZFdO7ajl5eV9pLZgZWUFnU4nAI61tTVB6adSKdLptMA34IM+OvWz2NAEAAAgAElEQVRYVIfZ+vo6oVCIZDIpv2tUPLmgoEConIo4qpz33t5eNm/eLJHDwsJC+RpKIE5MTPDcc89x77334nQ6icViUj3gcDjQ6/Xy+u3YsYNsNisF99PT0zQ3NwuZdn5+HoPBgMViYefOnayvr3Pjxg0KCgrktdi8ebNEiScnJ0mlUgSDQQoKCojH40QiEZLJJMFgEICZmRmMRiNlZWUUFxeTTCaZmpqS600Jv/HxcaHp9vf3s7i4iMlkkvoCjUYj0W4FvFE7seqGGsDi4qJUnkQiEakaUYLv5MmTstP7q8y/RY1AbnKTm9zkJje5+TVNKpWir6+PsbExOYT+t//232hra6O9vZ1EIsHQ0BBut5t9+/YBHxz+du3ahdPp5NKlS0SjUUGpRyIR3G63wCU2b97M4OAgWq0Wq9XK9PQ0kUiEI0eOcOXKFQwGA9u3b6e3t5eKigpWVlaw2+0cOnQIl8vF6uoqBoMBvV7PsWPHJNq3trZGTU0NZ86cobm5WSiCyWSS4eFhHn/8cXEUrVYr5eXl1NbWiiOgHCyXy4XT6cTr9XLHHXdQV1fH6dOnueuuuwiHw4yNjbF//350Oh0LCwtkMhkOHDjA1NQULS0tvPbaa/j9fsbHx1lcXKSzs5OBgQGhZE5MTGAwGFhaWmJubo7R0VGOHTuGy+WisrKSH//4xx8BgWzYsIF9+/bx5ptvsmvXLr761a8KwXB2dpbJyUkaGxvJZrOyczM7OytCWf18NpuN8vJy7rvvPvLy8rh9+za3bt0S9/PGjRtMTU1RX19PXV0df/VXf8XOnTspLS3l/PnzAqNRYlv9279/v8Qpi4uLuXLlihzo1YE2EAiwZ88eHnzwQbq7u9m4cSN1dXXU1dXh9Xr50z/9U9LpNOfPn2dubo5nnnmGtbU1oQ62trZy5coVZmdn6ezsZGFhgeXlZY4fP05zczPhcJhz585hNpvFxZmbm6OiooJYLIbb7SadTlNYWMj169fZtGmTlChPT0/zyiuvsHHjxo8QV5U75nA4WF1dle6vDxM/s9ksDoeDeDxOIpGQ/a90Oo3RaBSsvtVqZX19XfbQ1tbWJF5ZVFQk7ztVgJ2Xlye0wJWVFSwWi1zjytVVMBFV0Kyil/n5+cTjcen50uv1EllUYl7FKBXU5MM7eTabjUAgINUBqgdOp9N9BOiiKgXUc6F+PrXjqKAtas9PUUCVKFWfG4/HWVtbw+v1SqWARqNhZWUFr9eLXq+noaEBl8uFVquloqKC2dlZiQQroaLRaKivr6e8vJyFhQUCgQBbtmyRSpCysjIp2k4kElitVoGowAd7dseOHePTn/40LS0tsiMZDAZpbW3l4YcflnqCaDTKW2+9xfbt2wEYGRkR4IvT6SSRSBAKhXA6nRKrdLlc4sQGAgERU3l5ebhcLjQaDWNjYwBCmlXUUvW6Ly4uyrWg3HZVc6HqCtSOYzweF4dTiXTVG5eXl0coFMJms9HZ2fkr/V3ICbjc5CY3uclNbn6DJy8vj9bWVrZv305dXZ1Ek9Sd5FgsJjtcytVRZdqFhYVSND08PIzVaiUej2O32yksLKS9vZ2FhQWSySRbtmwhEAjgdrupr69nbm6OpqYmGhsbqa2tZWxsjIGBAR566CFxLYLBIGNjY7jdbrLZLBcvXkSr1dLW1kZXVxcFBQU0NzfT3d3N5OQkw8PDUlR75swZHn30UXbu3El7ezs1NTVCbtPr9Rw+fJgbN25QVlZGR0cH+/btY2hoCJfLxd13383FixfxeDxs3ryZnp4e/umf/oljx45RUFDAU089xYMPPkheXh7bt2/n/PnzIgDUwVodyBT8YXh4GJ1Ox9tvv01RURGPPvooGzZskH0gVSgciUR4/PHH2bhxI9/5zneorKxkfX2d0tJSuru7uXTpEqOjozQ1NUmEEMBqteJ2u/H7/RQXF5PJZCguLpZ44OTkJGNjY0J91Gg0JJNJbt++TUtLC5/5zGeYmJhgdHSUYDDI+Pi4fB8VLSwqKmJ6ehq73c4777wjiP6lpaWPfK/y8nK8Xi9Wq5VkMsn27dsFjf6xj31MKKa9vb0cOHCArVu38txzz3Hp0iWefPJJ9Hq94OKDwaDAVNTPNzU1xeHDh3E4HPj9fo4fP87GjRu5efMm1dXVRCIRnE4nt27d4p133uGBBx7gqaee4stf/jK3bt3i29/+NsFgUOKARUVF6HQ6AbsoV0PtnBUUFEg0WMUn1efG43HZaVpfX8dmswlVUO095efnC0JfXR9q70l1vpWWln4Et68Kt5ULbjQa5XPdbjcul0vijsr10uv1Qp1U+3DqxoYSUsoFTCaTQmpUiPpkMinPh4p4qsjzysoKa2trAgkqLCwUaIqqTYAP3MLV1VVxpvx+P5FIBIfDgdFoRK/Xk0wm8fv9AktxOBwiXJU7aTAY2L17t3SaTU5OYjKZ8Hq9OBwO7rnnHnw+HzqdTgAqpaWlAk1pbW1Fo9EQDAZpbGwEkLjnvn37aGpqorS0VMBGqhtyfHycYDAo4vLmzZtCu1VRUlW5sLa2Jo67ilArdzYej5PJZFhcXMTlcuHxeJiZmWFlZUX2Cl0uF8XFxfI5JpOJ1dVVcbYBeR8p4dvU1EQ8HiccDuP1esWdzGazaDQalpeXKSkpEScVPkhOOJ1OSkpKhHL5r43mV+0b+LecHIUyN7nJTW7+fzXX19fXt/6//SD+T5mKior1N954A61Wy7Fjx1hbW+Pq1auEQiHZ/7n//vuZmZmhtLQUk8lEe3s7y8vL9Pf3EwwGCQaD6HQ6WaLPZDI8/PDD+P1+dDodbreb++67j7m5Odrb2ykrK+P69etcuHCB+vp6TCYTX/jCF+jp6eFHP/oRTz/9NEtLSywuLuJwOPD5fAQCAcrKytizZw83btzA5/PR2NhIXl4ep06dorOzk7KyMtbW1vD5fAwMDLB9+3bsdjtlZWU0NTUxNjZGfX09w8PDUso8Pz/Pnj17CAQCcohUND7lnIXDYerq6mhqauLrX/86Dz/8MI888gj5+fncddddRKNRfvCDH0iB79GjR2UH5siRI+JyqF6zdDrNrl27KCsr44tf/CIajYbu7m5isRjj4+OUl5eze/dudu/ezVtvvcXy8jIul4u2tjb27NnDtm3bpJDY5XIJJl6BJAwGg8BRzp8/z+joKLdu3SKRSLCysiKvnXI5lIDZvn07k5OTPP/887S0tODz+chmsxJNnJ6eZmhoiKamJtbW1tDpdMzMzDA4OIjD4aC0tJSCggJKS0u57777JNoZCAQ4cuQIf/EXf8Err7zC97//fX72s5+h1+u5fv06r776Kl/96lcpLy/na1/7GiMjI/zBH/wBJ0+eFGhHJBLh5s2bxGIxQdcXFhbyyU9+kqqqKmKxGM8//zwPPPAAwWCQb37zm3R0dFBaWkptbS1f/OIX2blzJ3fffTcDAwPccccd3Lp1S6iDer1e9r6Uc6bKs5UTpyJtivqpIquqz0uv18sumIKI6PV6NBoNmUxG9uAUmEK9V5SwU6RO5bIoQaxEnxJFyolTBEkVAVUUViXQFKxEYehjsZi85spFVE6iomiqPVVA9qgSiQTFxcUS+wsGgyLuVFwYPnAVE4mExPtSqZR8XInv3t5eOjs7+drXvsYzzzxDc3MzyWSSxcVFKV6vq6uTiOXi4iLLy8s0NDQwNTUlr00ymaShoYF7772XUCiE1WqlurpaXNGhoSG5wTE3NyexxPvvv5/S0lK+9KUv4fP5hOTY1dUlJeALCwu89957HDx4EJPJxNDQEMXFxezatYt3332X/Px8bDab1JCon9FmswmhVFUYqK5CVdvhcrnkefT7/RLjDIVCcsNHuZxKCF+7dg3gIxFJi8UijqSKcxYVFckeooLpqOe2r68Pi8XC5OQkmUxG86/9Xcg5cLnJTW5yk5vc/AaPghw888wzHDhwgDNnzmAwGIAPDnD19fWMj4+Tn59PLBZjcnKScDgsBbzJZBKPxyP7NqOjoxQVFQmCOy8vjz/6oz/iueeekxJm1bmm1+s5ffo0L7zwAv39/czPz0sxdygUYmRkhKeeeoqenh5cLhc1NTVoNBo6Ojr48Y9/TH5+Pl/60pe4++676enpQaPRcPfdd7N792527dolRMO8vDxWV1dJpVL4fD4cDofsNSk0vdVqBZD6gXQ6zQMPPEBNTQ3j4+NUV1fzxhtvSJRsdXWVL37xi3g8Hl5//XWOHDnCa6+9xj//8z9js9lIJBLU1tbi9XrFNVF37RX4Qh1sFQxD7VCFw2FxuB599FF+7/d+j3vvvZdUKoXX66Wvr4+HHnqIl156SSJxgUBA9gS3bt3K0NAQer2eW7duMTExweLiIvn5+Xi9XsbGxjCbzXJYVDj6QCCAwWCgubmZhYUFzGYzJSUlpFIpRkZGqKqqYmpqip6eHrLZrFQyNDc3S2+VVquVOO0TTzzB8vKyxAXPnDnDwsICW7ZsweFw4Ha7mZ2d5fOf/zxWq5UXX3yRwsJCtm3bRl1dndww6OvrY2RkhKmpKdrb2wmHw7S3t+N2uykqKmJhYQGn04ndbufGjRts2rSJe+65h0QiwY4dO7h69So/+tGPeP3110mlUlRVVQHItbG+vv6/7KepeKMSVqqfraCgQMq0lfhSkBAVX1Vumk6nIxqNyq6XckXUATs/P18El3o8CwsL4tCoGKT6fuFwWEAmytFTYky5YplMRvb41tfXSafT2O12iXEqt1Tt8q2trUk/mMFgkOhjMpmksLBQHoPar1MCUrlESmwoyInJZPqIcFPiV/XeKdKmwWBgdnaW1tZWioqKKC0txWAwkE6nuXr1KmVlZZSXlwtuPxqNSkTXaDQK2GVmZkYinEpULy0t0dLSwvXr11lfX8fj8QDI3mN1dTUzMzPceeedvP/++0xPT3Px4kWKi4uZm5sjFovR1dXF0NAQHo8Ht9tNIBDgxIkTQsY0GAxSwr20tER9fb3sEqrnXQk6dc2o9+D6+rr8jlMdeaqLrqioiA0bNrC6usrU1BTBYJCysjKSyaTEI5eXl6VDDmB6eloEo3L8VddgYWEh8EH35oerGv61+d+uEchNbnKTm9zkJjf/9qNiNy+//DInT57E7/eTSqWor68XF0A5CfF4XOAKgUCA/Px8amtrqaiowOFwCN1Oo9HQ2tpKZWUliUSCM2fOMD8/z+TkJPn5+bz33nt4PB45kGazWU6cOMGNGzck6qfT6Whvb2dyclLKsU+ePElBQQGvv/66xMZGR0cZGhqiq6uLO++8k5qaGkHwNzc3U15ejs/n4+233yaZTDI3NyekP4/HIzG1ubk52SXJZrP09/czNTVFNBqVHZmxsTG2bt3Ktm3b2LdvH5lMhu9973ucOnWKT3/606ysrEgMSh0W1W5KMpmUIu+pqSmJbhmNRin6ttlscmBcWVlhdnaWt956i8cee4xjx44xMDDA+++/z/LyMlevXpXDajgcpqysjEwmIz1kExMTHD9+nEwmw8zMDJlMhsnJSWZmZsSJU1CD6elpwuEw09PT0kXV0tJCU1MTu3fvBqChoYHh4WGJY6leNEU1VBE7o9FIe3s7g4OD9Pf3Y7VaJe72wgsv8NBDD3H27Fni8TiPP/44qVSKiooKTp48SSQS4a677uKRRx6RxxsIBASA09LSQjqd5vDhwzz66KNSbqzIqH/4h3/Io48+is/n43d+53fo6OggGo3y13/91zz22GP09fXR2NjIuXPnCIfDgrTPZrOyq6YEdCaTkUOwcrBUt6F6P6h+NAUAKSoqEvdJxREV/ETtcjqdTukwNBgMEjNVjlNJSQkGg0FEiqI3zs/PCzxG7agVFhZSUFBAKpVidXVVwCLRaJRYLCbl2x+OS354/y0Wi8nPp+is4XBYhLwSqernSKVScvNBddapXre1tTUAua6U2DCbzfIcK9EJ4PF4hCypbkKkUikcDgdOp1MInS6Xi6mpKUZHR7HZbGQyGRFO8Xic1dVVACk6V9Ud58+fJxKJsLCwwNLSEhqNhrKyMokdrq+v09fXRzweZ2xsjCtXrnD27FkRRYqOqYSTcrVnZ2dpa2vDYDCwadMmEb5qB1QJWtUpqErd/X4/lZWVLC8vs7KyAiDXTDwex+v1UlxcLCROlQDweDwS452YmCAWi8n1t7a2JkRLtT+ndio/XGXhcrkoLS2lvb39/5ki79zkJje5yU1ucvNvOw0NDUQiEe6//37eeOMNvF4v+/fvx2w2U1NTIyS54uJiOdwDhMNhKisr0el0RCIROXBrtVoaGxsxmUw8++yzPPfcc7hcLjZs2MDKygoVFRV0d3fzN3/zN1IK3dXVJZCN9vZ2FhcXhUL56KOPsmnTJomHXbx4kfb2dmw2m/SOFRcXc/fddxONRtmwYQMTExPYbDbGx8fp6+tj79690q+komYbNmwgGo1SVlaGVqtlYmKCa9eu0d3dzdraGjt27CAUCtHc3Mzy8jLvv/8+b7/9NlarVaiSfX199Pb2cvbsWYLBIHa7nWvXrtHW1saOHTsYHx+XKKPP5xOCZ39/PzqdTuKOWq1WcOlqb0YRLU+fPs0TTzzBk08+yXe/+126urpIJpP09fVx5MgRjh07RjQaZXBwEJPJxPDwMFqtlv7+fumDCoVCXLlyReAt8Xgcl8tFMpkUXLlym5SLsba2JoAItUNnMpkEtJFKpUTs/9Zv/RaACLpoNEpNTQ3btm37SFT11Vdf5Z133sHhcLC8vMyhQ4c4cOAAer2e5uZm6urqqKio4Pvf/z5ms5lt27Zx7do19u/fT0lJCadOncJsNrN//36mp6dpbW3l2Wef5Z577iGdTguJtKKighdeeIHu7m4SiQTT09P09vYSDAYZGBjg5s2bEmNT+2gFBQWy32mxWERwKXdKHYrVDlg8HsdisYiDpeKOJpNJ3i+JREJ22lS/nHJJVlZWxLFTwlA5Mul0mmg0SiaTwWw2A4jQU3CRDwNHAIl8KsGoHg8gZEZ1cyIQCAg8RO3yRaNRed3VNalioJlMRqAq0WhUIp/pdFpcRZPJJIIYkD0++KCSwWKxEIlE5Huq/TG/3y/upwJ+qOtBOX2FhYXMzc1JNcnS0pJQOaenp8U1jEaj1NbWYrVasVqtjIyMsLy8zNTUFA6Hg9raWuLxuLzu6neXqim4efMmqVRK9j7HxsakaFu5s6oMu7u7m5GREbnJtLi4KGTYoqIi6urqmJubo66ujkQiQSAQYGFhgfLychHYakdPvXccDgeTk5Osr6/T2dkpn6tulihHX8V8ARHaCvTjcrmETmm32yVKWVlZyeLi4q/swOUEXG5yk5vc5CY3v8Gj0+n46U9/SiaTIRAIMDk5SVFREVu3biUWi9HT04Pdbmd6epqSkhLKysrIz88Xl0jdif/wneDq6moGBwf5rd/6LZ5++mmamppYXFzkyJEjvPvuuzz55JN0dnYKCv211177yJ1th8OB1+vlvffe49ixY6RSKRobG9m3bx9arVb6k0KhEHfccQfxeByn0ynQlNnZWYaHh6moqMBqtUqX3Pvvv09paSmBQICbN29SW1uL2WwmEomwadMmMpkMR48e5ZFHHmFmZobq6mpSqRS9vb00NzeLQzM0NMSGDRu4fPky4XCYkydPUlxczD//8z/zyU9+kuXlZelwCofDQh7UarUkk0k2bdqE0+mUjjp1gC4pKaG4uFjcjmg0ysrKChcvXmTfvn089dRTnDx5kuvXr9PY2MjmzZsxGo2cO3dOwDMKp64Q9cpFDAQCQlJUES9F0VPuSCAQoLGxUXa61EFfr9ezc+dOfvnLXwoIIxaLUVlZKaXWCpoyPj4u4BuTyURtbS2vvvoqTU1NzM7Okk6nmZ+fp7u7W4AQX//61/nc5z7H9PQ0r776KoFAgK6uLnE9Ozs7RaAqwIUSSv/+3/97HA4HNTU1+P1+ZmdnuXjxIgBf+cpXyGaz9Pb28vTTT/Pnf/7nXLlyhVdeeYX8/HyGhoZIp9OkUilxUUwmE5FIRPre8vLyZN8vFotJhFYd/lVVhBJTSkSqOF0ikRAMv4pgZrNZ2UdTwkcJRvhg10ldM3q9Hr1ej8PhwG63Y7fb5fX6cGyyuLhYqJoKNqK+lk6nk4O/y+USjL/6vPX1dcxms/wc6usr90i57iaTiUwmw/j4OEtLS7IDmEqlCAQCmM1m6Y3T6XRkMhl5TIpUq0rNfT4f6XSaoaEhKisrJeZpMplEdIRCIfmnCJ8Oh0PipArqMjY2RkdHB83NzRJVVTHFVColJEblqk1NTVFWViawJZ/PR3FxMW1tbVy9elWAPRcvXqSjo0P298LhsNBofT6fVFbMzc1J5NRgMGA2mxkfH5fScfX6FxQU4Pf7pZttdXUVo9EoQJvl5WW2bNnC8vIygUDgI5UVOp2OsrIy9Ho9U1NTH6GbhsNhuRZUz5x6n6uOPfV+7ujo+NX+Lvxa/8rkJje5yU1ucpObX+v09vayuLjIK6+8QmFhIR/72MdIp9McOXKEp556iuPHj9Pf309DQwPRaBSTyURNTQ3z8/MUFxdjMpmEUqjoaMvLy3R2djI8PMyBAwf4l3/5F/x+vxy+nE4nTzzxBMlkkvb2dt555x2J+pSXl/P9739fOpMWFhbweDzodDqqq6uZm5vjxo0b5OXl0dXVxXvvvcfs7Cw9PT2UlZXxh3/4h5hMJokLKmz38PAwHR0dXL58mfr6eoLBIKWlpSwsLBAOh4lGo7S3tzMzM8PIyAgtLS289dZbaLVagsEgqVSKn//85/zt3/4t27dv5z/8h//A6Ogovb297Nixg29961ts376dtbU17rjjDqFSWq1WiouLCQaDWK1WKY72eDw0NDSQSCSorq6WuFk4HJbDszr09ff3U1BQwNatW/F4PCKIzp8/T21tLXV1dYyNjZHNZpmbm2N1dZVwOCw0xUAgILs4qtxXFVOrsmar1UpZWZm4MMlkUg7sKho4Pz+Pw+EgGAzidruBDxDo169fp7q6moaGBpxOJ5FIhM985jOMjo7yox/9iM997nPcddddvPzyyxw6dIj29nYKCwu5cOECFouFhx56iIaGBm7dukVjY6OIl6NHj3L48GFOnDjBgQMH2LlzJ1/4whd49tln6enpoaOjg0gkQnNzM/F4nBMnTjA8PEwikeDixYtUVFSIiA2FQhiNRubm5uQArfbaFEFSdcUpFL4SayaTCYPBQDQaJZlMyq6Y2mFUrpMq3Vafr4iDyg1LJpNCuSwsLJQdOIWNTyQS4gypHS9VUfBhYaWAJgqYoQAkSsypx6z24RQd1WKxYLfbJRaoqIoqIrm6uorFYhGqoyJcqk61lZUVeX+rYnAlJBX1UoFZ8vPz0ev10mumetwUxEW5mG63W4rdVUF9TU0N2WyW2tparly5Io9HRSLVjQP4wLlSFEiDwUB7e7vsg1ZUVNDb2ysidn19XaiYoVCI8fFxDh48SE1NDaOjo4yPj1NWVsbIyAjxeJyOjg4Rprt27eK9996TgvapqSm5ceFyufD7/RgMBgKBAENDQ0LjXF5epqKiApfLJdee2mtUjuza2tpHbgpMT09TXl6O3++nvr6ekpISbDYbY2Njch2HQiEhhaooq/oc5XKq/UwVCZ6fnxdh/69NTsDlJje5yU1ucvMbPIWFhRw6dIhHHnmEBx54gNLSUr761a/y5S9/Wah/R44c4ebNm/h8PjZt2kQgEKCmpkbw7ktLS9jtdiwWC2fOnOFzn/scjzzyCPfffz9er5dt27ah0WiwWq0SHbJarXg8Ht555x1SqRTl5eVMT09jMpkIBoP09/dTV1eH1WrFaDTy2muv8clPfpL29nb27NnD8PCw7MZt2bKF8fFxLBYLRqORjRs3ks1m8fv9tLW10dnZidVqxev1kkwmqaurQ6vVMjg4SDqdlnjZwMAAt27dwuPxsLKygsFgYOvWrVy5coUXX3yRxcVFjEYj+/fv5y//8i85fPiwoMO/8pWv8NRTT1FbWys9UOprrKysUF9fTyAQ4Pr16wwODuJ2u+ns7KSyslKcKIfDITFGnU6HzWYjGAwSjUbp6enh1q1bbN68mSeeeAK/38+pU6e4efMm4+PjxONxlpaWmJ+fZ2JiQhzVmpoa8vLyqKurk4Ou2odaXV2lrKyMSCQiOPzFxUXy8vLQarVcvnxZnESNRsMdd9wh+1Eul0v6pQoKCmhpaaGoqIi9e/cyOjpKJBLhwQcf5Mknn+Szn/0sjzzyCJcvX+bxxx/n4x//OK+99hpNTU0kk0meeeYZ/uiP/kg6vm7cuEFXVxc7duwgnU5jMBhobW3F5/MxODiIx+Ohu7ub9fV1LBYLly9fJplMcu7cOalkyGaz3HXXXRIxi0aj3L59m5/97GcYjUaJN6rdMUAEiELdqyoA5Zq53W6sVqtg/dX+pqJKKiGl6JuqqkF15qnXVq/XizOnetZUfFbh+T/stGWzWfk6an9No9FgsVjE7VpaWpKYpxJoShRaLBYRWcvLyxgMBtnxU5HMbDaLzWYTMIqKdCpHS7nCKk65urqKyWSSyGdFRYXsQqoS8fX1dUpKSojH47KvqdFo0Ov1lJSUiNBUVRkrKyuUlJQIyfP06dMC3nC73VJgff36dVwul4Bi7rjjDinLfvjhhxkeHuaNN94Qx3F5eRm9Xk8wGORTn/oUqVSKnp4e7rzzTmKxGJ/97Gf5xS9+QTQa5erVq1KabTAY2LVrFxaLhRMnTtDY2MihQ4d45ZVXaG9vl165sbExmpqaWFpaYmxsjLa2NhKJBLdv35YKhmAwSDwel/eTz+eTKgi10zYxMcHS0hKxWExuWCnxGovFaG5upri4mL6+PomNqji3ctxVNDsQCIgjt7q6isvloq+vT4Au/9rkBFxucpOb3OQmN7/Bk5+fz8rKCv/9v/93fv7znzM6Oiq7b6Ojo3LwUX1R7733Hnl5eezYsdFqx80AACAASURBVIP6+nr8fj+xWIyBgQGmp6fR6/X85Cc/QafT8cMf/hD4gJL2O7/zO1RVVfGzn/2M4uJinE4nqVSKrq4uysvLGR8fp7+/n5WVFTkcqejVxYsXhew4OjrKzMwMtbW13HnnnezZs4fLly+zvLzM0NAQFRUVsn+khNGtW7fIy8uT8m11SFO7PipC19HRwR/8wR+wdetWicc9++yzZDIZ4vE4o6OjrK6usnv3bsrLyykoKGDv3r2cP39e9rCGh4ex2WyC1lcFxouLi/h8PiKRCFNTUxJPg//ZKRYKhaSKQR3uVXGzcmrefvttpqen+cQnPoHBYBCQhxJZbW1tEs/S6XRS8u33+yWOpdVqiUQisp9TWFgoBcTpdJpAICBUUbfbzcLCgpQz19fXU1FRwfr6OsFgELPZTF1dncBYfvjDH/LAAw8wMjLC0tISr7/+OpOTk/zZn/0ZsViM48ePs7CwwMGDBzl69KiUm6u9tJdffpnS0lLuvPNOrFYr586d4/777xeB+e1vf5vNmzfj8/no6uoinU5LSXNTUxPT09NcvXqV3/3d32VpaUnEYWtrKy+//DJGo5H/8T/+BxcvXpSootFolF0j1UUGiGujYCLKWVLF5UpQ6HQ6TCaT7KUtLCwIUEIJQI1GQyqVkp42rVZLNBoFkL01q9Uq5c9er1fib6ps3GAwCLSjqKhI3C51nRQVFUntgyJGqv0pQHZVPxyBVk5jLBaTDjWTySSVCel0WkA86nva7Xbm5+cJBAJYrVby8vLw+Xzi2losFpaWliT+qQSgul6VCK2rq5MYo4pPxmIxnE4nMzMzUo+gYEm9vb1oNBpKS0ulOsBut6PVaoXyeunSJaGsKhHp8XiIRCI0NTXh8XjweDzs2rWL0dFR7rvvPvn/v/baazQ2NnL79m1isRgPPPAAPp+PkpISOjo66O/v54033qCiooIbN24Qi8Xkd1lPT48ARGpqahgeHqaxsRGv1ys1DLFYjEAgQENDg9BuCwoKWFpaIj8/XyArVqtVdhUV1bStrY2pqSnm5+fZunWruOfZbJbl5WW0Wq3ceNDpdFRWVlJYWIjf78dms8ne3K9a75ajUObm1zK/CX2CuclNbnLz/8UxGAw0NTXx2c9+lkOHDvHggw9y+/ZtHnvsMT7xiU8wOjrKtWvXuHnzJpOTk6ysrEicSh1Kl5aWSKVSdHR00NHRwcGDB6mrq+PcuXOcO3eOhoYGTp8+zaVLlzCbzayurgou3ul0Mj8/j9frpaGhgXQ6zYEDBzCbzZw8eZLbt2/T2dlJNBqVw+X27duxWCyEQiFqa2tpa2sjFApRXl4ugIiioiKh/ZnNZqampgTCYLfbWVhYYHBwUMRLMpn8SAdcVVUV/f39ZLNZQqEQdXV1suv2T//0T+zfvx+9Xs/7778vgJRAIMCVK1cYHh4W+MPg4CArKytcv35d+vKMRiPLy8vyPCjXQfWxFRUVodVqyWazxONxiTcqAmI4HObo0aNs27aN1dVV3n//fTwej9AlVWkzIPGuSCTC4uIiV65ckQMlfBBpCwaDGI1GAYk4HA527tyJy+UikUhIvKu8vJzGxkYcDgcdHR00NDSwefNmHn30Uf74j/+Y5uZmPvOZz3D79m2pCrh58ya7du2itbWVZDLJ8ePH+cQnPkFFRQXZbBav18uOHTtYXFzk2rVreDweQqEQzz//PIODg9x///289dZb6HQ6amtr+dKXvoTVamXjxo3E43FCoRAlJSXi4Fy/fp1PfOITaDQavvvd7zIwMMCf/MmfcOLECb72ta8xOjrKz3/+c3Hq1LVsNpvlOVO7R8ptUjtmiiqqUPj5+fk0NDSg1+tFlCnIic1mw263i4BTjpv63+rjRqMRjUYjwk2r1QqBULljRUVFgvRXFEFVoJ5IJCSW++FYpIpG6vV6EUEKbW8wGCTOl0qlSKVSFBcXf4RQqpD/6vyVn5+PRqMRwaDT6bDb7QIyUTh8JZyUwxePxyU+qsAmiUQCr9eLzWaTPbL8/HxcLpe4TRUVFTQ3N1NUVCTRYpvNJoAcVcewceNGduzYIY/h2rVrTE9PMzU1RSwWw+12s7q6Knh/BUJR0CF140Kv17N//36hN3Z3d1NfXy8Qo7q6Ovbs2SM3s1Q8c2Jigmg0yunTp5mZmcFutzM+Po7T6ZTicvVc2O124INIs3JRDQaDdAImEgm5qaDccPgAQqPEYWdnJ4lEApPJJOAS1emXTCYpLy9nbW1NrhflzlVVVWG1WkkkEr/S34WcA5ebX8uou0+5yU1ucpObX++ou7hKKHzrW99iz549eDweNBoNq6urDA4OkslkpDi7sLBQ6HBtbW0kk0kWFhbkEH3+/HlcLhfV1dXY7XYikQhbtmwhm83S3NyMz+ejvLyc+fl5IdStra0xPz/Pgw8+yK1btwiFQnz5y19maGiIq1evyuNRZLbTp0/LvtWtW7ckZhiLxUin03i9Xrq6uujp6REEvIol9vT00NzcTF9fHzMzMxw+fJiioiJefPFFTCbTRwpy33nnHbZv386f//mf09zcLM5Tb28vAwMDEnH73ve+R0dHByUlJTQ2NuLz+WhtbWVycpL5+Xni8TiVlZWCTZ+ZmeHuu++WHSetVotGo5FYnt/vB6C6uppwOIxGo5Hna35+XkSnEuCpVIqPf/zjHD9+nImJCdbX12VfqrCwEK/XK9AEFf9Tr31lZaV8jbW1NTo7O3G5XGzdulU6plZWVrj33nvp7e1l06ZNGAwGduzYQTKZZO/evaTTaRYWFvB6vdx1110UFhbyV3/1V2zdupX8/HzOnTvHpUuXeP755/mP//E/8t577zE4OMjHPvYxfD6fCK/bt2+zvLxMc3MzW7Zsoby8nM2bN3PmzBkef/xxjh49KpCRmpoaNm3aRE9PD6dPn+bWrVsCtrhx4wYnTpygrKyMZ599luHhYU6cOMHAwAB2u13gHUosqT41tVulBJyKs+Xl5QmWXblyCsyhoCAqHqheGyVYFKlR7RtaLBYRiaurqxQVFZFOp8lkMtKZZrFYSCQS8jiVE/ZhcaZ2GRVsRe2JKYdVuXwWiwWNRiM3FRQUo6CgAKvVKpAbk8kkQk/1jSl3cGlpiWg0ytramog95fQpoelwOASMom7uqGoR5cYp8Ibf7xfB63A4GB4e5vjx43i9XtLptIBHSktLP+JAVldXMzExgd1ux+Fw0Nraitvtxmaz4XQ6aWpq4urVq2g0GlwuF+FwmPz8fHFHQ6EQbreb2tpa6uvr6ejooLW1leHhYcbHx0kkEmzbto1wOMzCwgKNjY2YzWYGBwexWCyUlJRw+/ZtXC4X9fX1XL16FafTya5du+jv7+fGjRt0dHQQCoVIp9M4nU6i0ajcGCooKCAYDBIIBLBYLJhMJgoKCiguLsbr9eJ2u7Hb7dJr5/P5pFewrq6OGzduUF5eTiKRYHZ2ltnZWbRarYg8VRcwNzeHXq8Xwqy6OaU6B/+1yQm43OQmN7nJTW5+g0fd7f6v//W/SpQoPz+fs2fP8qMf/Yg333xTOsZmZ2exWCxygAiHw6ysrJDJZLDb7YyNjXHgwAE5gD333HP85Cc/wefzyddOJBJs3ryZqakpAYgcPHiQ9vZ2AMxmMzt27GBkZAS/309tbS1vvfWWYLCrq6sxmUyUl5dLLNLtdjM8PCw/U1NTE3v37sXr9UpfltfrFTS5OrAptLtOp8NgMLB7926GhoaoqqqSPb3Ozk7efPNNcTfef/99mpubOX36NG1tbVitVn75y18yOjpKdXU1mzdvZmhoiJaWFvr6+qioqKCkpETQ3uXl5aysrNDU1CQ9Uwo2oDq01G6QRqNhcXFRDsomk0kcDq1Wy7vvvktbWxsbN26kvLyccDiM3++XMuj19XUWFhYEiKL65lRETzkb6r+73W6J1JlMJurq6mhubmZmZoZYLEZ/fz933HEHWq2W1tZWcW8mJibYsWMHVquV++67T7rC7r33XiorK5mYmGBgYIC6ujpGRkZ49tlnGRsb4ytf+Yr0+BmNRoaHh4WYqPqydu3axZYtW+ju7ubSpUt4PB4CgYAQO1dXV/n7v/97xsbGBJ4DMDQ0xJ49e3j44Yfp6+vj1KlTHDp0SG4CLC0tiTCNRCKsrq4Ksl9RVZXYUq6pisMqcITNZpMYoypFVx1eiuyodqAUibCwsFCAHkrYKFEGH/SPKQGnooiq81BFD1W81mw2S/QxmUxK0XUymcRsNuPz+SQOqVy8TCYj0AwFDVHvAfVYM5kM8EG3WiAQIJlMivO4vr5ONpsVZ3J1dfUj5eLJZFJonCoCrboC1T/1PKibH+p69/v9rK2tiShTIlD1KiqHVO2Ktre3i9NlsVgECKIirpOTkwAYjUYpIFdR06amJpqbm6mpqWFhYUFcSIPBQCwWw2q14vP5cLvdOBwO+f1TUlLCpUuX8Pl8bNu2jZaWFvr7+ykpKcHtdhMKhbh48SImk4nGxkZGRkYwGAxMTU3JnqC61hR4JRqNytcuKipiaWlJysEV0VS5zOXl5eLel5WVEYvFpBpERWaVo6luRqn4pqpL+FUmF6HMTW5yk5vc5OY3ePR6PfX19Rw/fpxvfOMbnD59mhdeeIHf//3f5zvf+Q7BYBC/3y/7Kevr6wwNDaHVarFYLHg8HiorK2ltbaWkpIQzZ84wMjJCW1sb3/zmNzly5IiUSW/ZsgWfz8fy8jLl5eWYzWaCwSBXrlwRJ0rtgCknIhQKsXfvXk6dOiVUP5/PJxhvBUC58847aWho4GMf+xg2m02Q9W63W7rNrl69ysLCAgMDA2i1WoqLiyXmptVqWVxcJBgMMjo6is/nY//+/dTU1HDs2DH8fj//8i//IrATo9FITU0NoVAIrVbLww8/TFtbGx0dHRLxUkXJH3YS1AHSbDYLMl3t2KlSZrUzpGiGFosFq9VKXV0dbreb6upqoQD6/X4GBgZEVHg8Hurq6gTWog6pin4Yi8Xw+/34fD5mZ2ela0xhyD0eD52dnezcuROj0YjH46GtrQ2tVsvGjRuZmZmhq6uLoaEhHnvsMY4cOUJPTw//8A//wEMPPURTUxOZTIYf//jHHD58GLfbzcTEBJWVlXz84x/npZdewul08rnPfY6LFy9y8+ZN4vE49fX1zMzMcPLkSerr6/nWt76FxWKRXasf/OAHhEIh3nvvPcxmM1u3bqWkpIRvf/vbEhNUu0Xnzp0D4MiRIxQWFnL58mX+9E//lDvuuIOioiImJiYk3gfIHpwSPsqBUmJFCb1YLEY0GkWv11NeXi7kxQ8j610uF/n5+dIPp1zQ/Px8iouLRcQokadAKoo4qpD9StAVFBRIZ5w6fIfDYQARegrNn06nxZ2Lx+MCGTEajQL9UDcNPnyzQLmEq6ur5Ofn43Q6xelVoBCj0Qh8INI+HKtVu6SqlDo/P19Eifr5lJgABIqSl5fHysqKkDZNJhPt7e24XC4cDoeUjxcUFGCz2chms3K9qj7CZDIpYlbRMlVcsbe3V54z9bsmGo1SWVkpr5HaY1QJAlWrsbq6ytzcHIlEgpmZGSYnJykoKMDhcDA9Pc2dd95Jfn4+IyMjDA0N0dTUJAK3ublZKgVUrFOROKenpxkeHpYYrSLFms1mrFar9A8qsJJyg0dGRtBoNNhsNoE8KSdUUVAVSCcvL0/23ZS7p3YVleP5q0zOgctNbnKTm9zk5jd4HA4HP/jBD4Ri9txzzzE6Osrc3Bx79uzB7XbLPo7ZbJY70SpCpvqy1F3ktbU1RkZGePXVV7Hb7bz77rsYjUaOHTvGP/7jP3L27FnW19c5d+4c3d3duFwuXC4XZ8+eJRqNcvDgQW7evInNZmN6eprr169/pEOpv7+fmpoa+vv7sVqtPPHEExw8eJBXX32VgwcPcs8997Bp0ybi8TjV1dU4HA4ikYgguQcGBnA6ndy8eVMcvG984xsEg0F++7d/G7PZzO///u/zzDPPcOTIEbRarbheqktOOWLPPfecuHjd3d1CjLTb7dy8eZOpqSnZbVtaWqKsrIzFxUUuXLjAyMgI5eXlJJNJBgYGSCaTlJWVCW1wfX1dcPUK0qHIjzMzM7L/FYlE6Onp4cUXX2RmZobCwkIOHz5MSUkJL774IlqtloaGBkZGRohEIoTDYXFIQqEQ99xzD7t27aKmpkaifgUFBVRXV0vMz2azsXfvXi5cuEA2m+WXv/wlb7/9thAVY7EYf/EXf8GRI0dwuVyMjIxw+PBhfvrTn/LjH/+Y3/u932NwcJA/+ZM/4Ytf/CLnz5/n0qVLDA0N4XA4ADhx4gSPPPIIGzduxOPx8NZbb9Ha2kp9fT1TU1OMjo6ya9cu/tN/+k+0tLTw7rvvymHe5XLR1dXFL37xCwFz7Nmzh7vuuovz58/T3d3NuXPnqK2t5e/+7u/4y7/8S7luASl4z2azQmxU/z2ZTBIOhyktLSWTyUi594fpkxqNBrPZLA6ciusmk0mJ7ikH6cNIe+WsKWKpcv50Oh3RaJRIJCIdcEqkKVEUCAQwGo0iDrVarexYKZEZDAbFtZqamsJsNktXmRKWyo1T9QF5eXlyHavrVu1mKpECHwBe8vPzhaKoADnpdBqdTkcqlRKBpSAw6vk2Go34/X5xBJW7H4vFpGJC7fup/TRVKRIMBgU2o8AxaifT6/UyNDQEQGlpKYuLixItVDcoFKRGObjXrl2jv79fxKyKOKdSKdnR9Pl8UnNy77338sMf/pDCwkI2bNjAwMAAExMTfPazn2V0dJR4PC6F9JcvX5bKCIvFgs1mk55Kt9uNyWQS8a+IoeraMZvNrKysUFVVxfr6ugCYdu3aRXl5ObFYjPHxcUwmk9z4Wl9f5+rVq1JfonYWo9Eoc3Nz4vr9KpNz4HKTm9zkJje5+Q0eRXqbm5ujrKyMYDBIOp3miSeeoL6+ntraWokzGY1GucurDl6qwyoej8vHFNXO4/Fw5swZHnzwQbq6umRnyOv1cuDAASmGnp+fp7S0lPr6egYHB6msrOT8+fOMjIzIYVAt9cdiMa5du4bNZqO+vp6RkRFqamp47LHHaG1tlbvV6XSaUCjE0NAQCwsLlJSUMDs7CyAFzjabjY6ODpxOp5Ddzp49Szqd5tSpU+JONjc3c+edd8qeoCrVraurkz2fjo4OysrKGB8fZ3V1lcrKSjZs2EBxcTEVFRW0tLQQiUQIBoOMjIzIYX1lZQWv1yt31dVOkXIdFBCioqICu90uMUoVU0wmk/J1Jicn5TlVEc+CggIikYjsUblcLomIut1uWltbKS0tpaysjE2bNsmBeGZmBp/PJ8TJlZUVOjs7OXXqFH/zN38jTmBNTQ1ut5tXXnmFxcVF/H4/165d49KlS9hsNj796U9z8uRJjh49KsLZ6/WyadMmvv71r0uxcEdHB1u3bqW2thb4IL537733cvr0ab7xjW+QSqUEKKEcilAoRCqVYvfu3Zw7d07AFIWFhezatYt33nmHn//85ywuLlJaWsrrr78uMAcFxPmwOFlbWxOqo6oBUERQ5cApl0yBQxTcQxEY7Xa7EEXVjQfl3qiSb7UzBwhgQ9EbLRYLBoMBq9Uq7pLqNQOkAkIJkEQiIbtpoVCIcDgs14WKFmq1WgH8BINBFhcXpfxZ7V4q0bK+vi4/5/r6OkVFRcTjcYG+GAwGcTwzmQx6vV563lTEVH09JRCVY6fel+vr60SjUYlJT05OEo1GZT9T7d0pAahIl8qhGh8fF+dbCcXl5WX27t1LW1ubxFALCwvRarWyQ6q60NbX1xkbG2NwcJCxsTEymQxer5elpSW0Wi3z8/Pk5eWxtLQk78F4PI7X6+XChQu0t7dTUlLCxYsXJYr55ptvUlVVhclkIp1O85Of/ASj0YhOp5NrQQn2pqYmuVmjdoALCwsl6uh0OiVauri4KDfRNBqNvCcNBgNHjx7l5ZdfJpFISM+cqisIBAKMjo6KIxuLxYQU+6tMTsDlJje5yU1ucvMbPEVFRZSVlVFYWEhNTQ2VlZV0dXWxbds2ampqKCkpkYNpfn4+N2/eFAy5AkCoQ5TaHTGZTKysrDAyMsLFixf567/+a5qammhpaREXoaioiNbWVrLZLC0tLTQ2NqLX66mpqaGiooJwOCzfe21tjfHxcdbW1hgaGpLD6tzcHPPz86yuruLxeAiHw3JoUrGwuro6SkpKWF5eljvhkUhE7oC3tLRIrOuHP/whzz//PF//+tcZHR3lP//n/8yf/dmf0dLSgtfrxePxyM+uvoder6ezs5NMJoPb7SaVSsljNRqNTExMEI/HaWhooLm5WXYBAcHKm81mtFoty8vLTE9PE4vFxOmpqKiQ53diYoK5uTlxStS+0draGgsLC9y6dYvJyUl0Oh1tbW2YTCa6urrkoFldXS2ROEXaq6uro7GxUUqZnU4nFouFhoYG1tfXpXNKxQo//elPk81mmZiY4Omnn+bpp59mZmaG119/nStXrrBv3z6Wlpb4+7//e7q7uxkcHGRqagqHw8EXvvAFLly4wO3bt9m5cyepVIrp6WkmJiYIBAK89NJLzM3N8fnPfx6r1crw8DAOh4P9+/dz3333SQz0m9/8Js888wy9vb2MjIwwMTFBMBikvLyc+vp62tvbGRwcZHFxkenpaWw2G1euXMFkMrF79242bdqE0+mUfSQVWVU9a0o0R6NRiRgqYab2q5TDlkgkWFpakjilimE6HA4R3B8u/g6Hw3LtZDIZiSsWFBQIIMhsNhOJRCRW53Q6hShot9vlMSrRqK419fyovj+TyUQ8HsdoNEq8sri4mLKyMgGOpNNpcX9U/E5Fi5UYUwd/q9UqO2kfplv6/X6SySR5eXmUlJRISbd6PpX4VL8vCgsLBa6hhKDRaPzILqbVasVsNsvroMif6veQeh3C4TCpVIpgMMjExITsh9lsNnmuNRoNc3NzQpWdnJxkeHgYn89HVVWVxK3VTuKGDRvE3VxYWJBSbbUnuGnTJg4ePEhJSQnT09NoNBq8Xi8DAwPyum/cuFFe49XVVYaGhpidnRXypaJNrq2tUVJSIr+bFMBEAXbUY3A4HBLbbmhoIJlMsnPnToLBIGfPnuXChQvU1NQAH+w1q17A4eFhASJls9lf+e9CTsDlJje5yU1ucvMbPL29vSJ8+vr6yGazNDY2ShxIoa1VN9q+ffuw2WxCv6uvr5eiZXUoz8vLo7q6moWFBaqqqjh37hwtLS0SGWppaaGtrY3z588L1S2bzVJXV8fc3Jwc2C5dukQkEsHr9Qq1cmxsjEgkQiAQIJVK0djYyOXLl4lEInKIHh8fx+PxSJ+d2kNTi/6qzHZ5eZlQKMRLL73Ed7/7XYaHh6mrq+Po0aP8wz/8A1arFZfLRTabpampifn5eRYXF6Xkt6GhgZKSEgwGAzt37qSqqkqiaG63mw0bNlBVVcX8/DwGg4G6ujrq6+tpaGiQ3buVlRUpw1Z9XjqdTkRFMBgkmUwyMzMjLkg4HMbr9aLVajEajdhsNlwuF4WFhQSDQS5fviyHXZ1Ox8aNG2UnRu0PKWe1s7OTtrY2tm/fLodiRZNU9L3BwUGcTicjIyMUFRXx5ptvcvXqVc6ePUtXVxc1NTX87u/+Lk6nk89//vP09vZy1113CdJ979693Hfffbz00kukUin27NnD8vIyp0+fprS0lO9973vs2bOHgoICHnvsMRF1P/3pT9FqtdTV1bFhwwYRVKdPn8blcmG32+nu7hYKY0VFhXR1vfzyy/j9fvbv34/X62VwcFCqKu677z7pNjMYDHKAVs6x2l1KJBLEYjFSqRShUEgcpVQqRVFREQ6HA61Wi9VqlfeKEnwqqqZ625QA1ul0RCIRbDYbVqsVh8Pxke+r+tDUx5QIUjt5KoapICmqXy2ZTIooUDFHBa2wWq0Ss4zFYiwuLkpMV0FalHD8cB2BElvwP50/FclU+3c6nY6KigqsVquIVCVE1eerrrxYLAZAMpmUuKfNZsNms1FQUCCuVCaTkSivcgmVWFZ7d0oMK3cwGAwyOzv7EYdaRY4X/i/23jy47fs89/2AC0gAJBYCIAlwJ8VFXLRLFm1Rku1YthNXtmO3sU8ybk+2zrRxmzRt0jZ15+QknbnnzOlpeuOcLEdZXTuJLTu2nDi2ZGs3RS2kSIr7voPYN4IEQBC4fzjfd+RzZ248Z+4943MH70xGMUVREPAD+X1/z/N8HpeLjY0N3G43U1NTjIyMsLy8zPDwMBcvXiSdTotyGQ6HSSaTonrl5+cTi8Ww2WzMzMxIxtLj8dDV1UVdXR1+v59PfOIT+P1+XnzxRVKplABzMpkM5eXl5OTkMDo6SnFxMQ6HQ54bZZfV6XRYrVbq6uoE0mQ2myksLJSbOUptP3v2LFqtlgsXLtDR0YFGo2FxcZFr164RDodxOp1oNBomJycxGAz4/X6Gh4fle8sHmWwGLjvZyU52spOdD/G0t7dLr9DnPvc55ubmqKmpwePxsH379veBPcrKytjY2GBhYYHCwkLB+KsDnyqPTqfTcvdZdUslEgnuv/9+WlpauPfeezGbzVgsFl555RU+/elPc+3aNebm5hgbG2NkZIQLFy5IZ1N9fT39/f00NTUJ1KC6uhqTyURLSwt2u53h4WHa29ulKymVSlFdXU00GhUEv8qhXL9+XYL9Wq2WYDCIwWCgpKSEhx9+mFdeeYWTJ0+SSCSIRqNMT0/z1ltvcerUKXJzc3nkkUdERVHWJ7UEqyVVp9MxMjKC2WwmlUrR399PQUEBFRUVtLW1yQFWHawjkQg6nU6yOul0Gp/PJzY4l8uF1+vFarWytbVFeXm5gDK2trYIBAJiPRscHGR0dJTW1lZ0Oh02m03UE6fTSSaTYdu2bWzfvp2NjQ1RLUpLS7lw4QImk4ne3l6Ki4tpa2tjamoKgLa2NkGea7VaGhsb6e7u5rOf/Sznzp3jwoULvPzybkPF1QAAIABJREFUy5w8eZKvfvWrnD17loaGBu655x4WFxfR6/XccccdTE5OMjQ0hM1mo7Ozk9XVVbZv386f/umfEggEKCoqoqOjgzfffJNgMMgTTzzB1atX2dzc5MqVK4yMjLB9+3Y0Gg2XL1/m8uXLZDIZ/vAP/5C5uTmqq6sxGo1CYnzttdcEiqOUpkwmg81mw+v1AkiFQDKZJD8/n0wmIxZF9RoqG58iMKoDtcLyGwwGsdyZTCZCoRBGoxFAcmdFRUWiyqhlv7CwUKijSlVVoA/VT6fsh/F4HKPRKAuNqgJQNwlUZYDqLywqKsLr9YpVtKCgALvdDiDq7dramlyLqvZDZdxUgbmqVFA5QPVvBmThUlnA1dVVqTFQqvzW1pZAYVSBeWlpKeXl5QJGmZ6eFuX39q87Pz9PLBbD7/eLoqdyt2trawwNDdHa2kpNTQ1LS0vEYjESiQSrq6sCjlHv5fPnz3P33XfjdDpFgVP01UAgIOX0mUxGXj+/3y/W1kgkQlVVFel0GovFInbkSCTCHXfcQW9vL2+++SbDw8NUV1fT09PD8PAwWq2WkpISrl27xh133MHW1hb19fWsrKwAyPW5traGyWRiZWWFnJwcUTTVIr+wsIBWq+XcuXMYDAZCoRB+v5/t27fT19fH3r17GRsbE6vq1atXMZvNRCIRscN+kMkqcNnJTnayk53sfIgnlUrR0tIimHIF2qipqSESiTA5OYnL5eLGjRvo9XrGxsYoKSkRG+PKygoul0vyJXNzcwSDQfr6+pifn2dwcJBLly4xPDxMIBBgx44dLCwscOvWLXbu3ElnZydarZaDBw8SjUbxer1cvXqVpaUlWYxyc3PZvn07CwsL3HXXXXzkIx+hpaUFvV5PfX29dGidO3eOSCRCOp2WO/GJREJUM2UpW11dldLnra0tbt68SSqV4t1338Xr9bK2tsbf/d3fCYZb9TY1NjZK51R1dbWg/WOxGLOzswIi2bt3Lz6fT3JvirYZDoeJRCLyeH0+n8ApFIlS9bcVFBTIAX90dBS/34/NZhNVSFnUHA4HNTU1VFdXiy00kUgwNjYmS+v09LQUL2u1WmprawWRf+eddwoN0+/309raitvtlqXb5/PR2tqKx+PB5/Oh0WiYnZ1ldnaWf/iHf2B6epq9e/dy7NgxKisr+fjHP84nPvEJvvjFL+JwONizZw8+n49Lly6RSCQYGhpiZWWFhYUF6Yjb3Nzkj/7ojzhz5gx9fX0MDQ2xvLyMzWbj6NGjLC8vE4lE6OnpIR6P8/nPf549e/ZIDi0UCvHZz36WV199leeff56enh5GR0cF3T40NMT09DThcBhAFqH19XX0er1ku25XoRQcQqfTCbpfLR+3A0esVqtkmNRio1Sn27HtyiIZjUYJhUKi8AG4XC6hYirVTdkntVqtADbUxGIxydMpFVddlyqDCu8tSIoKqdFohAbp8XjkOlcgGGUfVEqZImgqi6WqHVAUTaXm6HQ6oUjq9XqhyBYWFmK328VCqpY9VVReXFxMS0uLXFMOhwOTyUQmk8Hr9TIyMoLb7cbr9QogRdUZ6PV61tfXWVpaYmJiguXlZVZXVxkcHCSVSmG1WtnY2MDv97O4uChYfqVcT05O0tvbK5+jLKCBQEDUMqXq5ufnYzabCYfDlJSUiN06HA6zsrKCx+OhsrKS1dVVQqEQzc3N1NbW8vrrr/P666/LTRW13JtMJiYnJykuLmZ0dJTZ2VkqKipYXFyU/KXH46GmpgaLxSJ2Z5WnTCQSTE9Pi6PA5/Nhs9nw+/3cddddjI+PU1hYKDAf1b2nVMgPWiOQVeCyk53sZCc72fkQz/j4OE8++SSHDx/GZrNhsVgwGo1SeFtUVMTFixdpampibGyM9vZ2Ie4lEgmhyQ0PD9PQ0MDKygpOpxOtVsvVq1cpKyujvLycU6dO4fV6+cpXvkJFRYUcqNvb2yktLeX06dNMT08zPj5OOp3mypUrNDQ0MDU1hdVqZX19nSeffFIw9YFAgKamJlEDt23bhkajobe3l7y8PJaWltjY2GBxcVEelyIGplIpKisrmZ6epre3l6eeegqj0cjjjz/Oww8/zBe/+EVu3LjB4uIily9f5sKFC0xMTBCJRDhw4ABarZZIJEJ9fT2XLl3CZrNJKbNaNs1mM7/85S+pqalBp9Nx/fp17HY7FosFn8/H4uKiHP7z8/PR6/WUlZXh9/vR6XQEg0ECgQDxeJy5uTkaGhpYXV2VxUKpKepgbrfbKS0txev14vf7pQpheXmZ2tpaJiYmGBkZYWFhAb1ez65duygqKuLq1au0tLSQTCZpaGhgdnaW4uJiWf7cbjeTk5M0NzdTXl5OZWUln/jEJ7BarczNzfFP//RPXL9+nfvuu49nn32WWCzG6Ogo+fn5/Nu//RtHjhyhv7+f8vJywbEfP36cc+fO4fP5+A//4T/g9/s5deoU1dXVkklKJBIcOnQIu92O3+9naGiIyclJ1tfXOXPmDKFQCK/XS3V1NV//+tcxmUy8+eab7Nmzh5WVFW7evMnMzIwoF6urqzQ2NlJXVycZQpVlUxY91Ymm+uUKCgpkqVA0RbWIKIUqHA4L7l0t1ookqJYc9XcpGIqyPqoDu8prqYxSTk6O4O03NzelT051mSnwkFKA1XKj/k6lkioqrN1uF/utyvMpvL2qLVDK3cbGBjabTfKd6XRanidlA9VqtdLvppQl9ThDoZCUnweDQbFEKmVZPW+rq6uCylf5Po1GI52JyiIZjUal0DyZTApxMR6Py8JoMBhkcZudnZWMq8/nY2ZmRuypVqsVl8vFhQsXuPfeewmFQgD8yZ/8CWVlZRQXF+Pz+aRnTllDXS6X9AAqG696PgYGBuRmiFqst7a22LVrF1qtlsnJSXbs2MHs7CyhUIjW1lauX7/O4uKi9L5dunSJoqIinnvuORobG1leXhZokdVqpa+vj4sXLxKJRFhZWeH06dO43W6eeuopXnzxRex2O2+88QYdHR1sbGzwi1/8AqvVypEjR2SZvXr1KgA7d+78QD8XsgpcdrKTnexkJzsf4lF3xFOpFOFwWJQWVdDscDiwWCwUFBSwa9cuyaQsLS3J3e3Z2VkymQyjo6OSC/L7/QIzmZ6elkPx2tqagBcaGhrweDxkMhmamppIJpP8wR/8AVarlXvvvVeC/BaLhWPHjhGNRgVYoRYZdUBPpVKyICir1+zsLHl5eUInzM3Npa6ujiNHjqDT6XjwwQd5+umn8fl8XL58maefflpgDE888YTc7Z6fnxfqY0VFBX6/H6/Xy5kzZ2QZGh4eZnFxkfHxcSYmJnjllVeoqqpiz549WCwWAZeEQiEsFgsjIyOSJwLk8K3scVtbW6JO3Q6GUHAYdYc9HA6zsbGB0+nEYDBgMplIJpNS69Db24vL5cJms7Ft2zYKCgqorq7G4/Fgt9tZX1+XagS19KbTaYFclJaWYrfbaWxsFPhEOByWioa8vDw++9nPMj8/z9tvv43BYOD++++ntLSUb3/72+zYsYOGhgYmJiYYHh7my1/+snSU7dixQ4qUFVWyp6eHa9eu4XQ6AXC73fzLv/yLqLlbW1v09fXh8XjEhtvc3MzHPvYx/v7v/56GhgZ+/etfU1NTQ1dXF8eOHcNoNNLR0SGU0tdff510Oi0Hf1U0fbtdUOXIFKhDLWnxePx9nVzqvaP+rNFolEUskUhIfYCqotDpdIK1V2ofIIh/i8UimSe19KhFSHWp3a6qqf6z4uJiLBaLZCeTySRGo1FeI5UDVe9NVfqsACp5eXmyKAWDQflclVvLZDKS/Uyn0/L3qWyWen8kk0mxERcUFAixVqfTiTKpQCKTk5P4fD6MRqMofXl5eUSjUVEqb++qU++LWCwmmVGLxUJNTQ07duyQjy0vL7OwsEB+fr5YjVVWMBAIsLW1xdDQEJcvX2Zubo7nn3+et956S+oT1I0Y9bw4HA7JqSoipuptbG1tZX5+npmZGXw+HyMjIxiNRnEZFBQU8Pbbb1NbW8vOnTslD5xKpZienubtt9+muLiYhYUFUUdjsRgtLS2Ul5cD7ynGg4ODnDp1it/+9rdcvXqVmzdvcv36dTQaDQsLCzz44IP09fVRUFDAvn372NjY4Nq1awSDQSwWixSef9DJKnDZyU52spOd7HyIRyHPCwsLcTgccqfb7/ej1WpZWFjA6XSi0+kEHJGfn49Op2N5eRmj0SjUs/z8fC5fvozdbudjH/sYoVCIRCLB66+/Tn9/P52dnfT09LC1tYXT6SQ3N5e2tja6u7upra2ls7MTeI+WNjQ0xOzsLE6nk0984hNYLBZmZ2eprq6WPFJ1dTV/9Ed/xPj4uNg6i4qKuH79uljUtm/fTjgc5ubNm7S1tTE6OopGo8HlcrFr1y4aGxulXywUClFbW0t7ezs7d+5kcHCQkZERYrEYMzMz6PV6LBYLm5ubUidw+fJlJiYmaGtrY2RkhGPHjrG6usrCwgJ+v5+xsTGx02k0GskDud1uOYgrC+Xm5qaUILtcLgoLC6Vja21tTaAMCiKTm5uLwWCQcnO9Xv++8nKfz8fNmzfJy8vjqaee4tSpU6yvr1NUVCRdfhsbG+Tn54ulLhQKiTVvcnKSjY0N6urq8Pl8NDY2yiHZ4/FQV1cnz8HOnTsZGxvj4sWL3HHHHWxsbAjlMhaLce7cOQ4ePMgrr7xCW1sb6XSagwcP0tzczB//8R+zvr7OysoKNpuNhoYGqVtQlMGBgQEB1Oh0OmKxGJ/61KcwGAzMzMwwOTnJd7/7XYaGhqivr2dgYID6+npycnJYXV2lpKSEmpoaXn/9dcnMKaVHYfjVAgFIv5pSXvx+v4BD1J9NJBJSHn27BTEWi5Gfny9L2NbWFpFIRCAcqossHA7LwldWVsbS0pLg41WuVKPRiIKmaiYUMVGr1ZJOp0kmk7KkqaVMLXxK5VNWTLUUquyesgQqq59SyNQiq2iUW1tbAHIDJzc3V+zBKle1tbVFVVWVZNBUtYiqOlAUR2WrLC8vp7m5mfr6eulfU12FPp9P+vjS6TRer5e8vDzC4TClpaVC5zSbzaJkWa1WxsbGuHz58vvqFFSxtnILrK2t0dfXRygUYmpqCofDQWFhodx0MhgMbN++naamJlZXV+U9Nz8/L7UGCpi0vLxMU1MTvb29otpOT09TV1cnFQoPPPAAU1NTUudw8uRJHA6H3Ch466232L59uxSNHzx4UIiia2trzM7Oyg2OTCYjqurq6ir19fW8/PLLlJeXs2vXLnp6esTW7fV6uXDhAlVVVVKTsbm5+YF+LmQVuOxkJzvZyU52PuSjDpIqI6UOcAqSoYL+gUCAxcVFZmZm5O63OpC1tLQQDoepqakROmVtbS1XrlyhsbGRo0eP8thjj2EymTh+/DhtbW2ixqXTadbW1ggGgxL412g0PPTQQxQUFDA3N0c4HKaoqIjl5WU2Nzd54IEH2L17N3Nzc9TX17OxsSFBfgWwKCsrY2VlBbfbTXl5OdevX5e7+/v27ePuu+8mFotht9vZsWMHzc3N7Ny5k4MHDzI7O8utW7eYnJzknXfeEfrljRs3iMVizM/Po9Fo0Ov1hEIhzGYzdXV1RCIRqqurKS0tlSoDl8uFx+MhGAxSWFiI2+3m7bffJplMihql7GSRSASv1yt5JpfLRTQalRJel8sluTlVyaDUDXWAB8RmurW1xejoKAUFBRw6dAin08m7775Le3s7169fJz8/n4WFBVwuF8vLy2LFTKVSPPDAA1RWVgqsobKyUqAQoVCI6elplpeXaWtrY3JyErPZjMfjEcXMYrFw6dIlZmZm+NSnPsWePXv47W9/S11dHX/zN38jfVzPPfccNptNrGc6nY65uTlRE0pKSvj1r3/NyMgIP/7xjwmHw3R2djI4OEg4HObixYusr6/zjW98g6GhIckWvvrqq3JA3717N1arFY/HI3UOatFSGStVqry+vv6+j6vFWh3I1UKisl1arVYsxar4XFEUNzc3iUajskSUlJRIhku9Zgpzf3svm6I+KoDKxsYGOTk5Ys9UeTZloVVl2eo6Uuq3Umr1ej2FhYUCIwFEYSooKMBgMAiwSD129XtKSYtGo2xsbIi1URWSFxYWYrVapQ9SPUeqhkAth8qWqZ7rqakp4vE4LpdL1Gj171eLZzqdln+PsnqqXjatVivXcG1tLd3d3UxOToorYH5+Hq1WKxlFAI/Hw8LCglR8DA8Ps7S0xLVr17h48SK9vb2cOXOGEydO0NPTIzdxxsfHMZlMLC0tsbS0hNvtZnZ2Fq1WKzCnWCzG0tKSfI/p7e3lxo0bRCIRamtrJX977Ngx6QOcnp6WZbehoYGOjg6Wlpa4ceMGk5OTzMzMsLS0JOqaukmlYCfz8/N0dXXJDYbJyUlGR0fx+XyisqqbZrdu3ZJ85O+brAKXnexkJzvZyc6HfNThSOUu+vv7BVgQCoWwWq1i4dNqtdTV1TEzM4NGo8Hv94s9MpFIcODAARYXF/lv/+2/iTUqGAyybds2otEou3btYmpqCoPBwGc/+1k6OjowGAy43W5sNht2ux2bzSaHos3NTY4cOUJNTQ3pdJpdu3bJXeRgMEhHR4d0q126dIkjR46I6uV0Otnc3MRkMnH16lUWFxfJzc2lvLycYDBIKpXirrvu4sknn5QMTUNDA3q9njNnzvDmm2+STCZxOBw4HA6Ki4sZHx+nvb1dDsbKtjgxMYFerxeQS2FhIdFoVLrcvF4vAwMDWCwWsZ/G43Gi0Sgmk0lyTAaDgWAwiN/vl9yUIvwtLy8LqVIpd+p1UTYzj8cjCqHT6SQSieB2u3G73ayvr0v2zOPxYDQaqampYWpqiurqarGnWiwWksmkWEYVPEGBNoxGI3q9npmZGTlwJxIJBgYGpCdvfHyctrY2DAYDsViMUChEX18fH/3oR3nqqac4fPgwhYWFnDhxgkAgwJUrV8hkMszOzoqK9Ld/+7f09fVx5coVQqEQvb29tLe3Sx3C4OAgN27cwOl0Eg6HGRwcpKysjK2tLX74wx/S39/PzMwM3/zmN/H7/bz77rvYbDZKS0tJp9MC2/D5fNjtdnmtFVbeZDLJkheLxSgqKhKap7I+ut1uDAaDYPfNZjPBYBCNRgO817MYjUYlkxWNRgUcotPpWFpawul0Ci31dhtiKpWSpev2zJx63EpRU7Zbu90udk6VpVQgFFUQr+yHJSUlxGIxIWMqKqdaBFW3XDAYFICKWjhVJk+RDnNzc0mlUhiNRoLBIAUFBXi9XlF9VJm5sqWq7zlGo1FyqT6fj8nJSbxeL6FQCI1GI52Gyi6qFj+1CCqAit/v5+rVqwQCAaxWK4FAgOnpaSorK8VerQiYasFSgBZFYe3t7ZXvPcvLy+zdu5fXX38dv9+PRqOhvLyczc1NysvLpWxb3eCamJgQaql6zw8PDxOJRJidnaWsrIzW1lZ5Hw8PDzM4OEhxcTE7duyQhWvPnj3cunWL+fl5rl+/Lr2GqtZC2Z9VBk91NDY0NLC0tITf7+fpp5/m5s2bAgGamZmhoaGB3/zmN9x///3vs23/P012gctOdrKTnexk50M8ubm5eL1eKc9WBxGlXikin+pem5+fF5LixsYGGo0Gt9vN5uYmyWSSubk5YrEYFRUV3Lp1i1u3blFbW0txcTGVlZUkEgkp7U6n0zz66KMMDw9Lj5TNZkOn00m/kcPhICcnh76+Pvbv34/FYhFFQln+BgcHaWtrE0KdUhzU4ba7u5uenh5KSkq4cuUKBQUF3HPPPXIw/fznP8/a2hqTk5O89NJL9PT08M477zAxMUFtbS3Nzc2SDyosLKSqqorNzU2sVqtYrm7duiWo9Ly8PHw+n3TpaTQa6cxSGaqf/vSnAoRRmSKj0cj8/Dxms5loNEo4HJY77goSsb6+TjAYFBCGOpCpZVctdplMRjJea2trjI2NyYHTbDbz3//7f+fRRx8lPz9fqiSqq6slb+VwOEilUtTX1wvswu/3U1paKv+GiooKgsEg8/PzxONxWQZLS0vJzc1lZWWF6upqnE6nQGu+853v8NxzzxEMBpmcnMRisRAMBuXfodFoiMVifP/73+fYsWPMzc3x7rvv4vF42LlzJ3l5eUxPT2O328nLyxNoSXd3N0888QSnTp2iqKiI48eP43A4uHHjBidPnuQ3v/kNzz//PJcuXeKpp56Sw3QymZQeN/WcabXa99UKKEVMLT9qgdZoNNhsNqFRarVaWbKtVivJZJKCggISiQTBYFBQ/up9FwgEMBqN8nlra2uCk7+9u1C9bqqqQHUA5ufnY7VapX/tdhtueXm59ArGYjHJPyngjsqsKfiJ6jxT10s6naa0tJREIiGVBrcXdCs7KSALn7JiAmLVTSaTuN1uAa+o11dVKSjLriKBqutMLZbwnm1zZmYGk8kkEJjc3FxRfYPBIM3NzaysrBCJRGRZVqAQh8NBMBhkaWmJeDwuN1VUplTdSCkpKaG7uxu3282tW7fkdYxGo7KEVlZWMj8/T1VVFZ2dnczMzOB0OuU5LCsrE4JmQ0MDkUiEt99+W6i7JSUlxONxjhw5IgqkxWJhdXWVEydOkJ+fL7ZteK+ns6ioiPX1de677z5ycnIYGBhgbW2NcDhMfX09LpdLujrj8TiNjY309PQwMjLC4cOHeffdd6msrGR5eVn6CX/fZBe47GQnO9nJTnY+xNPa2kpZWZnYrVTgfWNjg6qqKoqLixkZGaG4uJjGxkbJ3litVgYGBpiamhI7YTKZ5ObNmzz++OMMDQ0BCOa8t7eX5557joGBAXJycnjwwQf5m7/5G3p7e1lYWGBlZUWgGR6Ph0gkwsGDB8Vm2dTURGtrqxz0u7u7icfj7Ny5k4WFBUH5j42NUVlZidvtpqioiLm5OVKpFNeuXSMajVJTU8O1a9d49dVXuXr1KqWlpQwODvKf/tN/4o033uDFF1+UO93btm0DkOxXKBSSrqaysjJ27drF5cuXcblcAmHweDz09/czPz/PhQsX6OzspLKyklQqxd69e/nSl77E3//933Pt2jU50EejUXw+n6gaaolSy6rVaiUSichBWtEC1YFa5eXUXfqioiLBuev1eioqKnjhhRcoLS1l7969AnRYWVlheHiYP/7jP8bhcHDhwgVycnKoqamhvLyc3NxcFhYWRI3bv38/Q0NDtLS0yKKj1+uZn59nbGyMeDyO3W5ndnaWqqoqRkdHqa2txWw287WvfY3Tp08LlEWn04maMDc3h91uF3z817/+dakn+M53viOLlTosDw0N8dWvfpXjx4/zi1/8gh/96Ec89NBD/OpXv8LtdmO32/na175GVVUVf/7nf863v/1t6d07ePAghw8fllyTWnZNJpPkJtUikZubi9VqJR6PC1BGwTS8Xq8sQ2azGZ1OJ8seIMu8oiQCYtdVKpdaPqxWq5Q5K2vl+vq6LJKKAhmLxTAajTgcDtbW1oRUCe8VYsdiMSn8vr1EW9nm0um02KVV16Aimao/C1BVVcX6+jqbm5uivqqFVC1wgFQOqBsMCqqinq9IJCLX7+bmpuQJdTodBoNBcnqqsF4p/jabjUQiwfz8PPBe1YlSrre2tigtLRXb5uHDh9FqtQwMDDA7O8vExIRka9XrdXtfXTweJ5VKMTQ0hMPhEGUyEAiQyWQYHBwEkDLt7373u/zbv/0bP//5z0WRbmpqwmg00tzcTGVlJdXV1TQ2NkrvoIKPZDIZurq6WF5eFmeD3+/nzjvvxOVyUVtbS2lpKbdu3SKdTnPp0iWpv2hqamJzc5P6+nruvvtuWltbMRqNYqFVyvq7776LVqvFYDBQWFjIlStXqKyspKamhqamJoqKiqitreXll1/my1/+8gf+uZBd4LKTnexkJzvZ+RBPf38/XV1dhMNh1tfXpdA6mUwSCARIJBJUVFRIdsRsNlNTUyOL0traGoWFhVJqnEwmuXHjBtXV1QIrcTqd3HnnnezZs0eyWd/97nfp6OggFApx8OBB9u3bRyaTYXV1lfn5ebZt20ZxcTEajUayJwr53t/fj9lslpLfqakp8vLyaG1tZXh4WIp5e3t7WVxclK6lyspKysvL+dWvfsW7777LzMwMm5ubnD59mrfeeovXXnuN9fV1nE4nxcXFrK2tEQgE5GCdm5tLY2MjeXl5JJNJoSJubGzg8XgExDEyMkIwGKSoqIjS0lI0Gg1Hjx6loqJC7HQVFRXyda1WK+l0mmAwKOqHyrsp+5Syy8XjcUHdq8yWIm+qPFROTg42m43NzU3C4TCZTIbFxUWSySSJRELKzxcWFkgkEiwsLJCXl0d1dbUQN3t7e7nnnnsoLCxkZGSEvXv3YjAYBMOfTCbZ3NzE5XLR1tYGvHdg3draoqysjL6+Pnbv3s3y8jJOp5PXXnuNlpYWfv3rX/P5z3+eH//4x0SjUQYGBigtLQXeyz/9+Z//OU1NTRw7dkwO5OXl5ZJpLC4u5tChQ6Jsql8TiQSdnZ388Ic/xGQykUgk6OrqYmVlhcbGRhwOB6OjozzyyCP8wR/8ASMjI2xubgp2X9EVlSqlACYK9qK6wFS1QDgclvyjx+ORRUTZT/V6PbFY7H1qleqUi0QiongpdUXRLFVuTl0DeXl5ArQoKSnB7Xaj1WrlaxkMBoGxKLvl7aXZ6jpRhExlsVT5tYKCArnGlIU3k8mITdlkMpGfn08gEJDFVr0v1eO73eIJiBpoMplwu92ygCsQicoPqkytwu+rnj51fVVUVLC8vCzwDmVbHR0dpbOzU2yfhYWFhEIh7Ha7OAXUIq3T6RgYGKCgoEAqAG6HEan3VSQSkfeByWSitLRUvgcUFhYyNDSERqMhGo2ysLCAyWTi7NmzlJWV8eSTT5KXl0d3dzcNDQ0UFhbS399PTU0NMzMz7Nu3j6KiIrGjDwwMYDQauXXrFlVVVbS0tFBdXc3U1BQej4eceWRDAAAgAElEQVS8vDzJ7/l8PkpLS7n33nvZu3evvD8rKyt54YUXiMViUpze2toquTq1UDudTgYHB2WxGxkZ+UA/F7ILXHayk53sZCc7H+LJycmhsrJSYA1KdSkrK8NkMrGwsEBNTY0sTAaDgWg0yubmJn19faK8qQxLOp2WjEppaSlms1mgH1arlaqqKnQ6HW+88QaXL1/mhRdeeF8OTGWPLl68yNmzZ3nooYewWq3s27ePixcvsnPnTlpbW6WU2+/38/jjj9Pd3U1nZycNDQ3k5+dz7do1+vr62LFjB7m5uWJF8vl8bNu2Te6wZzIZampq6O/vZ25ujomJCZqbmyWDVF5eLvRAg8GAxWLBZDJJcbDKO3k8HqampuQAqeiNn/rUp8jJyaG6uppoNIrRaKS9vZ3c3FxZHgAKCwvFTqfsaKlUCkAOy+pzc3NzCQaDBINBzGazWOLUc69e17W1NUpLS4lEIlIZkJeXJ8pbR0cH3d3d/PjHP+YLX/iC0D2DwSDV1dVSErxnzx7MZjMzMzMABAIBeW2VpUyVuUciEfR6vRD61tbWWFhYwG6389prr3H16lW+853v8O1vf5vCwkLa2tqYmJigpKSE+vp6fvazn9HV1YXX6yWZTDI5OcmBAwfE5qmUENVLl0wmsdvtvPrqq3zhC1+gpqaGtbU16ZN78MEHefzxx2WhGh4exuFwoNPp0Ol0RKNRyXapGxCKzqhUDWWXVMtNIpEQfL5GoxEroVpwNjY2SCQSQloNBAIAkp1TaPz8/HxRgFSNhFrgtVotgUBAbMCqBF7lzbRardw8UDlDi8WC1+uVXJqyGirSpLIY3/7n1eJVUlLyPhuuwWCQ5VCn05GTk0MkEhH76O03GhRMJRKJvK9XLxKJyEKpbKDpdFqWu/LycjKZjJBQVc+dIm2q91Z+fr58j1H5yNXVVVKplNwsUiri7eppPB5ncnKS/Px8Jicn5RrQ6/XiMlDvCZXrTKVSOBwOamtrqaio4NChQ7jdblKpFIFAgKmpKYqLi6WSorS0lHfeeYfW1lYeeughIpEI58+fp6qqimQyySc/+UksFgtut5s9e/bw7W9/m7a2Nnp6eqioqOD06dPccccd3HHHHVy5coWHH34Yr9crwJiJiQmefvppWltbqa+v59ChQ8zNzTE+Ps6ePXsoLS2lrq6ON954g4mJCfleqtfrmZ6e5uLFiwJJOXv2rMBcft9kF7jsZCc72clOdj7k43a7xeanMmpOp5OLFy9SVlbGzMyM3L1WgA2VCwsEAiSTSbExqszc2bNnaWpqIi8vj4mJCfr7+9HpdNy4cQOj0ciBAwfYu3cvLpeLqqoqenp6cDqdXLt2jfHxccxmM11dXZIzs9vt1NbWEggE8Hg8HDlyhOrqam7cuIHZbGZychKHw8HNmzfR6XTo9Xq2bdtGIpEgEAiwbds2Dh06xPT0NMeOHSMSifAXf/EXHDhwgE9/+tOcO3eOYDBIbW2tPBdKmXC73QSDQWw2m8Ba1tfXWVpaYm5uDovFIqXAbrcbo9FIY2MjNTU17Nu3D7fbTW1treDVy8rKOHLkCG1tbaKoraysyJKgsj9TU1MCtygrK5PFIT8/n4KCAmw2Gx6PR3D2ihpos9nk8KwO/arDS1E8Nzc3icViPP7446TTaX7605/yzDPPkE6nCQQCBAIB1tbWWF9fp7GxkdXVVfx+P3l5efI6qJzSyMgIKysrUmytMnOhUAin08nW1pYUqR88eJBnnnmGP/3TP6WmpoaNjQ3q6+txOBy88MILeL1e/vN//s84nU70ej2tra20t7cTDAZZWVlhfHwcq9XKAw88wNraGseOHePEiRPU1tayvr4u4BxV1TA/P8/i4qLkGRXwJZPJ4PP5BECSm5srizAgio+6DtSCrPrgVJZI9cip5S4UCmEymYT0qFQ2dRMAkG4y9TUUVVGpXUqpUjdLVBedRqMRpUwtbNFoVN53Pp9PqgBUpYTqc9Pr9eTk5Mi/XVEkVdZOLZnKjqesuuqmgFpyFMhGqZahUIicnBzJwCrIi1L5lOVZff9QCqB6LpV1VNVutLS0iKKan58vFlf1tfx+P9XV1djtdinWdrvdUtjd0dEhIKGamhrJndbU1DAxMSHLssq0OZ1OlpaWMBqN5OTkUF9fT3l5OUajkba2NgKBAFVVVczMzHD16lXa29tlkYzH4/L6RaNRcQncf//9zM/PY7PZ0Gq1Ukwfi8W4++67WVlZkaoRu92O2+1mcHCQnTt3cvLkSbFk3rx5k9raWnJzc7l69SqdnZ34/X4p9z548CBDQ0Osr68TiUQIBoOcOXMGq9Uqitudd95JYWEhc3Nz8jU+yGQXuOxkJzvZyU52PsSjDkXqEO12uykoKGBwcJCbN2+K5UvlXlRuSJEOHQ4HAwMDUgTd3t7OwsICXq9X7rh/5CMf4eLFi/j9fvbv309/fz/PPPMMb731Frdu3eLQoUPMzs7S29vL2toayWSSnTt3YrfbMZvNjI+PMz09LVUHakk4cOAACwsLAhsYHR1lYGCAI0eOYDabyWQynDx5EoPBIPj8w4cPs3fvXnnchw4dIhAI8Otf/xqdTkdXV9f78maKvmgymQScon5fFXq//fbbOJ1OHA6H5GOU7Wx+fp49e/bw8MMP09jYSFVVFd///vfp7OyU7JyCKiglRSHsVVl0fn4+JpOJVCqF0+nE5XIJNjwUCon1Ly8vj42NDdxuNyaTCYfDIcALVcANEI1GSSaTAFLe/tZbb/H888/z/e9/n29961s4nU78fj9bW1v09PTQ0NCAyWQiEAhgMpmk4296epr8/HzJSil1Vikz1dXVlJeXc++993LlyhV27NjB+fPnOXv2LIuLiwwODlJfX8/Q0BDLy8uMjIwwNzfH2NgYOp2Or3/962zfvp2enh5+8IMfcPDgQfLz87lx4wa7d+/mjTfe4Mtf/jKvvvoq3/rWt3j66af56Ec/ypNPPsno6CgVFRX09PQQDAZZX1+nuLhYEPcK+qHVamW5UQuvgpVkMhkhsqrlKBaLCYjDarVKH5oqVld2SrX8KOiLwWCQPjiNRoNWqxW6pbLQarXa91FdVTG7WjKVhVG91qokXKlsKvum7MuqSyyZTIrKVVxc/D7LoqoyUIqcWgrVzZNEIiEAErWQKXDK5uYm8Xhc8oIqI2cwGPD7/RQWFgo9UtVaKKU9kUiIfVYp3gMDA3R0dBCPx9Hr9ej1eul0q6mpwev1AsgNg5aWFqkWUNRF9fWj0aioqMp6qsiZqk9Or9djt9spKiriyJEjogSrmy8Gg4F0Oo3FYuHQoUP4/X6GhoakMqWwsJCFhQX279/PF7/4RXbu3Mnq6iq7d+9mdXWVa9euSf2JUhhbW1vp6ekRxU8pzdu2beOTn/ykvMYHDhygpqaGeDzOyMgIP/rRj6ipqeGXv/yl5DBPnToFQEtLC/Pz86TTaa5du8bU1JTYRNfX16murhaAyweZbA9cdrKTnexkJzsf4lEHVwXSWF5epq+vD6/XS0NDA1arlfLyctLpNP39/SwuLpKXl4fH4xGCZSqVwmw2S4/c5uamUC31ej0mk4l0Ok1zczPPPfcc9913H3fffTeDg4M88sgjXL58mcHBQfmcdDrNysqKWPmcTifl5eW0tLRQXl4u5MITJ06wd+9e4L0DnbJEvvjii1RUVGAymThw4AC7du2iuroak8nEXXfdRVdXl8BZ3nrrLcmG5eXlMTs7K1ROs9ksh+twOCyLz+LiIolEgkwmQ3l5udxpz8nJoampifz8fHbs2MF//I//kU9+8pN84xvf4OGHH2bfvn309/dTWFhIZ2en9DqpLFcymRSypqJOKqUgHo+j1Wrx+/2EQiFRcIqKiigvL5elQUFRlAVT2fjKysooLCyUTOL6+jrhcFiIert37+ZrX/sabW1t1NXViT0wEAiwsrLC9PQ08/Pz5ObmMjY2RigUIh6PYzAYWF5exuVyMTc3J5kvRe30+XyyAB84cICrV69y6NAhjh8/Tnd3N3V1ddx3330MDw/T3NxMIpFgfHyc8fFxMpmM5PROnz5NJBLh/vvvZ2Njg+eee45f/epX2Gw2vvWtb3H9+nWOHj1KbW2tLJfKsqqWWEVQVd12RUVFYvlT+Hej0SiAFmVFVArZxsYGoVCISCSCVqsVgqjD4RBghgKLqFyiQvir11f1pqmSar1eL0XuBoNBsncFBQWUlJSI1VIt8YreqIAcJpMJeK9SQ2XSFBFRKcUKgpJKpUQti8VirK+vS35OKW/KUqnsvOo6MplMkrFT9spUKkVJSYlkMpWtFN6zkypbtLrGFTjldvqlsoGqnJ6in6r/1uv1GAwGseIqu6fH4+HmzZv09fWJ1dLn81FcXMzm5iZtbW2kUikWFxdFdXQ6neIiWF1dFWt3RUUFTzzxBMePH+czn/kMBw8exGg04vV6uXbtGv39/VgsFo4dO8bevXvZt28fH/vYx3A4HNIzqFTLra0tydG1t7fLc1JVVYXFYqG+vp6ysjIqKysxGo1iz3U6naJednV1MTMzw+zsLHq9nvb2dux2O8PDw9JxmEqlhO6rgErbt2+nvr6eaDSK0+lEp9MxPz9PNBplfHxcrpsPMlkFLjvZyU52spOdD/Fsbm5it9vx+XzMzs5KCa06eKk8j0JfK5ucAoco+IXVasXhcOByuTAajfT29rJt2zbJTs3Pz/PQQw+xtbXF6dOnOXr0KCdOnJBi6EcffZRkMonJZGLfvn1UVlZis9lIJpPU1taSn5+Py+WSu/t9fX1UV1dz6tQp9u7dy5kzZ6iqqqKpqYlTp06Rn5/P/v37eeaZZ7h06RJnz57lnnvuwWAw8I//+I+YTCa6uroE1jE/P4/H48HlcrG6uopWq2XXrl2srq5iMBhoaWkhmUwyMzPD1tYW/f398lja29vp7OyktraWnJwcRkdHue+++/iLv/gLdu/eTW1tLSaTiZdfflmofHfffTc/+clP0Gq1Yn/KZDKi5kQiEaxWK8XFxaJwKRqk1WplZWWFwsJCSktLJQ+olBfVk6ayWXq9ntXVVSwWC/Bepq6lpYW5uTn6+voYGBgQ5fCb3/wmWq2Wo0ePkkqlGBsbo7S0lFAoxOTkpBR9ZzIZ3G438B4IR1VQ3HnnnVy9ehWHw0FLSwubm5tC0/T7/ezYsQOA5uZmCgsLReUF+OEPf8hjjz3GX/7lX+L3+xkcHOTZZ58VtennP/85L730En/2Z3/G2bNnBUryla98BZ1Ox969e7l16xb9/f385Cc/4bHHHqOqqoqPfvSj1NbWUl5eTmlpqdA7E4mEqKW1tbXSraZIfwaDQRQj9XuqpFuj0UjNgCI9KgVLLWxqAVeAEbW8qYVQZccymYwobCovtrGxIbRKQBZJtWQqi+Ha2ho5OTk4nU5ZuFRWUi1naoFSNxk2NjbkOlA5NgW9iMfjGI1GqU5Qtl2/34/BYECv14t9UC2Mm5ubJBIJUS7V66WUWHXdqlqDvLw8RkdHxeJrt9tZXV2loqKCzc1NvF4v+fn5LC0tCWQlk8kI8Cc3N5dt27aRm5vL7OysqGHnzp2TBTSTyaDRaCgpKaG3t5dMJkNbW5uQMzc2NrBYLOzYsYMnnniCRx99FKvVyssvvyx/F7xnd3U6naytrdHU1ERHRwePPfYYu3btIhgMMjc3R3d3N/v27eOOO+7g8ccf59/9u3/HxYsXMRgM3Hnnnfh8Ps6cOUNpaSnRaBSHw0FHRwc6nQ6Px4PH42F1dRWv14vdbqepqUnqEBoaGnjppZdobGzEbrdz/vx5fv7zn4vN8umnnyYWi3Hr1i1MJhNzc3Pcd999ojIWFxeLNVzRgj/IZBe47GQnO9nJTnY+xKPRaKirq+P69etoNBp27dpFMplkbGxMDqJFRUW0trYyOzsrd9LVUlFQUIDFYmFxcRGDwSBF0v39/djtdpaXl1lYWKCzs5N//dd/5eWXXyaRSPAnf/In/Mu//AvXr18XBL/VasXpdFJbW0tdXR1TU1Ns27ZNcl0+n49YLMbExATFxcUUFhYSDAa5dOkS999/P2VlZXR1dXH06FEOHTqEwWDg2WefpbOzk/vvv5/V1VW+973vce7cOcxmM319fRgMBiE0qs41k8lER0cHq6ur5Ofn09jYyODgoNA5VeEzQFlZGaFQiK6uLrq7u4nFYvyX//JfGBkZYfv27Xi9XjnY7t+/nwsXLoitSfVAKaLh7R1ZSkFS0IhEIiEqj8oZqpyWsmKpw/fa2pqoQHq9XkrQ1cG0vLycnJwc4vE4Xq9X7KBFRUX83d/9HdevXyedTnPixAkeffRRcnJymJ2dxW63C1lRHQpnZmYoKSkRy2xvby+NjY00NDRw5MgRyQoGAgEikQihUEg6tuA969xLL73E6dOnKS8vp7y8nDvvvJP5+Xl+8IMfsGfPHkpKSvjkJz8JwOc+9zkeeeQRvvzlL/OLX/yC119/nR/84AfU1dUJgv3kyZOijq6vr2M2mykrK2PPnj34/X4pZa+oqBCFS+Wp1CKmLH3JZFJslYrqqOoalM1R9fwpVen2UeAQpUyp6yedTouSovJkaplXozKH6r2mbL3qz6sbKPF4nFgsJqrs7cuVolvG43HW19cxmUxCXlSP4faibLX0RyIRWeJUT6FOpyMUCpGXl0cikSAnJ4dwOCyF2oAQU2+HlyiVUD0O1fmmVEX1ZxWYR9FaVQebwubbbDYKCgrQ6/W0tLQIJKe4uJiioiIcDod03iUSCdxuN5FIhD179ghhE2D37t1otVqqq6vRarW8+OKLQpDt6+uT4vm8vDy2bdtGb28vDQ0NVFZWUlZWRktLC4uLi1RVVZHJZPB6vbhcLrxeLz/72c9IJBIcOHAAgPPnz0set6SkBL/fTzgclpsB6vup1+vFYrHgcrno7Oykvb2dmzdvEolEePTRRzl//jxbW1vU1tZSVlbGt771LZ599lm2trYYHx9nc3OTT3/60xw8eJCf/vSnYjt1u92EQiGB4aievt83v/ezNBrNjzQajUej0Qzd9rESjUZzRqPRTP7uV8vvPq7RaDT/p0ajmdJoNIMajWbPB3oU2clOdrKTnez8bzj/K35Gqrvl+/fvl+zL+Pg4fr+fsbExioqK5GAci8UYGRnhxo0bciCMx+OSmzMajRw+fBi73U5VVRXz8/NcvXqVixcv8tRTT8kBYnR0lEAgwEc+8hH+6q/+SnI+58+fZ319nQsXLjA8PCyZHYX5jkajTE1NSUm3gjHE43Hi8Tizs7Osr6/zz//8z8zNzVFfX89vf/tbvve97/GZz3yGr3zlK6IOud1uLBYL7e3tlJWVUVpaSmtrKyaTidraWrHPhUIh5ufn8fv9RKNRrl+/LrTKhYUFZmdneeCBB9i/fz8f//jHOXv2LP/+3/972traREXw+/0sLCwwOjoqaHW73c7ExISQHQGWl5dZXl7m0qVLbG5uMjMzw9zcnNgmlf1MHfqMRiNOp1MyVTqdDo1Gg9lsFkR+PB5naWkJh8MhqpKyzSrblyJP3rx5k4mJCe666y6Wlpb4whe+wDe/+U0aGhqoqalh+/btWK1Wtra2pN9PqT55eXmEw2FKSkqE0gfg9XrxeDwsLi5SWFjIzMyMEAEVVfLy5cvU1tbS2NhIc3OzoNhra2vZsWMHv/jFLygpKaGuro4vfelLVFZW8q//+q/86le/Ynp6mo6ODo4fP87W1ha//OUvsdvtovrp9Xp2796NwWCQ11ZZTXNzczEajdLbpdPp2NjYIBKJ4PP55P2hblgUFRVJXkwpYyaTSWzDt6PqlcVW5RTVkqUO1oAUSGu1WsLhMIlEAr1eLzZJBatR9kB1c0RZIlWZczqdliVIqV6qAFzZENVCr7rqVJZTAXPUwpVOp0WhUhk8lWFTtmaPxyNLr1IQlf1zbW1N3pNqaVUgIXX9qnoNZc9UFk6LxUJFRYWAS9RjjEajFBUVSe3G1tYWPp+P/fv3Y7PZ5PorLy8nFovh9XrlOVK0SYPBgM1m49ChQ9x77718/OMfJ5VKyXtubGyMYDAoedtAIEBeXh4LCwtEIhFGR0el39HlckkX3/T0NOPj44RCIc6fPy/1DK+99hq9vb2SmVTXknqOb7foGgwGysrKZOGdnp6mrKyMjo4OgsEgBoOBhx9+mEwmg9/vZ21tjWeeeYaf/exndHd3S4XArl27pPB8bW2N/v5+JiYm5PuDujn0gX4ufIDP+QnwLPCz2z72t8A7mUzm/9BoNH/7u//+KvAg0Pi7/90BfPd3v2YnO9nJTnay8//H+Qn/H/+MXF9fF7R+QUEBfr+f4uJiduzYQU9PjywdKuuTSqWYmJjA4XBgMplwOp2CvFZK0eLiIkajEa1Wy86dO7HZbOzYsYMvfelLHD16lOHhYcmXBINBuru7yWQyYpk6fPiwHIyNRiNvvPEGe/fuxWw2S2Hu8vIybrdbLKCpVIodO3ZQUlLCyZMn2b17N88++ywDAwP09fWRSqUE+NDb28v6+jqdnZ2srKywuLiIVqvF4XCIRVApVm63m/Pnz1NSUsKtW7eEwrdv3z5cLhd1dXVs376db3zjG5w/f17Kxv1+PwMDA6yurrJnzx7Gx8eZnJykq6tLMOqDg4NCjnQ4HLIQmkwmrly5gtPpZG5ujrW1NSk3VhAJtaypw66ywCm7Wn5+vhARlbpYUlIiy4CiXebl5eH1eiUL5PP5CAaDfO973+O//tf/yuc+9zkqKio4c+YMra2tmM1m2tvbmZmZwe1209DQwPz8vFAS29raxB6pbGEKuNDQ0CBKpuq8q6urw2w2Mzw8zDvvvMP4+DiPPPII586dw+l08ld/9VecOnWK1tZWvvrVrzIyMoLD4eDixYt4vV7uvvtutra2mJ6e5sSJE+zbt08eS3NzM0ajkfr6elGvVL2BIiKqJU/l/Xw+H9XV1bKcJJNJWaKUUhaPx0UZVQu1z+fDZDJJXut2+6ECiCjrpMoIKlKkgnso9U8pgDk5Oayvr4tlU2XoAFkYVd9gOByWvjrVw6bIkoBcK4WFhfJeUMqbekwKsqKW0NzcXKampoRIqSyUGxsbYhdVkBO/349GoyEcDhOLxQQWEo1GKSwsfJ9Kq1RIn89HNBrFZrMJ9dRms7GwsPA+Oqh6vtTnqh66mpoaWbampqZwu92YzWbGxsYwmUxy7ZeVlXH8+HFsNhvhcJjr169z7do1IUeurKyI0qcUQ3Wjwmq1EgqFREVfXl7m/vvvp7q6mmQySTweF7rptm3bGBwcFDqrWs6U6r20tCQ029tvtKjvYxaLRUA5LpeLWCzGvffey6lTpzh27Bif+cxneOWVV8R6ubS0xPDwMAcOHGDfvn0MDw/T2NjI6OgoqVSKS5cukZOTg8fjwWazyeP5IPN7F7hMJnNRo9HU/g8ffhg4+rv//1PgPO/9cHoY+Fnmvau3R6PRmDUajSOTybg+0KPJTnayk53sZOd/o/lf8TNS5W/W19exWCzU1NQQjUaZnZ2lqqpKCIaxWAy/3w+8lwsJBAJSImsymcS6pw4mCpdvtVq5desW//AP/8CJEyeA98iXKysr+Hw+6uvreemll4jH45SXl3PPPffwgx/8gM3NTSmELi0tFdBEKBRidnaWeDzO2toaW1tbVFRUiI3qi1/8IkeOHGFra4tQKMQLL7zA1NSUFDJXV1fj8Xjo6OjgnXfeQafTkclkKCsrY9u2baJabG1tMTc3Rzwe5/DhwywtLUkOyuVyodPpaGpq4qGHHiIUCvHP//zP3HPPPXg8HmKxGBsbG4TDYcrLyxkeHhay4CuvvCIHw62tLRYXF6mtrRXwgToU9vf3S4mveuzFxcUUFBTIYVL1WikqocfjIZ1OU15eLsuBsoKFw2HJ1Cl7nTqYl5WVUVRUhMvlIjc3lxs3btDb28vOnTv5zW9+w9DQEI8//jhvv/02Bw8eFBjDhQsX6Onpobm5mUAgQHNzM5WVleTl5eFwOFhaWqK2tpaxsTEKCwuZnZ0lJyeHvr4+JiYmqK6u5s0338TlcnH8+HE6Ozvp7u7m8uXLUth97733Mjo6KpTQP/zDP2R9fZ1Lly6Jxe/VV19lZGSEjY0NWQAdDgfxeFyWzoqKCiF4NjQ0iPKo0WiYm5vDYDAQDAaJRCLyXKXTacxms0A9QqGQLMiqT2x1dVXUUFUToZZ/9TFFH1SLmFqg1XWmyJ3KthmNRolEIoLtV3lUvV5PMpkUeIrKjCqoikajwe/3iwJYUFAgcBIFSlFdd+qmi6I0KnVHVRUoyIm62aAUuWg0Kn11aglUi6VazFRlglIQVT+cWuwCgQDLy8vSJ2c2m9FqtbhcLrFkq+da2UAXFxcF8GKz2YRyuby8LDUmBQUF6HQ6jh49KhbTpqYmHnzwQUpLS/F4PLz99ttsbGwwODjI6uoqVquVSCQinYBGo5FMJiP2Q/Wez8nJkQxhWVkZo6OjNDY28tZbbzE+Pi6AIaPRyNLSkthL//qv/xqXy8Vrr73GfffdJxUlytYcj8cl85pKpTh48CB6vR6v1yuvQ1dXF319fWQyGb7yla9w/vx5JiYm2LdvH88//zynT5/mnnvu4aGHHpIqhNHRUR577DEuX74s2Ver1SpK7e+b/9kMXJn6gZPJZFwajab0dx+vABZv+7yl333s//bDSaPRfB74/P/k35+d7GQnO9nJzod1/l/9GVlRUSHlzmVlZayuruJ0OikrK6O7u5uioiIhrdXX13Pjxg3Jv8RiMcmsuN1uPB4P8/PzdHV1cfLkSVFZfD4fWq2W0dFRDh48yJUrVwBElZidnWVkZASLxcLs7Cz9/f0UFxczPDzMRz/6Ucka6XQ6gsEg8Xgcj8cjSoVer+cjH/kIly5d4rnnnmNycpKFhQWGh4cZHh7G4/Hwf7V35vFtlWe+/x7Li7xGtiVvknfHW5zFdhZnEkgIWUpoSGAn06EAACAASURBVEvZy5AyHVpo70xLuZOhn1su036mM7233EuXKcsUSqBAydCFBJIAISSEkMRJHGzHie143y3JtixbtqLY1rl/WO/bQJNAmTS27rzfz8cfS8eCPH6to/c853me3y81NZWuri4iIiLIzs6W3lmRkZEfmXkCpK9SbW0tERERdHV1UVpaKj3E5syZI1u9du7cyTPPPIPH4+GOO+7g7NmzDAwMcM0113D69GkMBgPt7e0kJiZ+ZJbP7/fL5EvIe4u79kJwpLW1lebmZubPn4/P55MJpvACE+1nXq+X0dFRANmaNTY2RkJCgmyvM5lMUuBBtAMKUQm/38/8+fPJzc3F6XQyODjI6dOnqa6uZsuWLbS3t/P6669z4403Ulpayh133EFiYiKJiYmy/S89PZ3Q0FDi4+MZGhqSLZADAwPMnz8fv99PXV0dmZmZNDU1SQNwg8HA/fffz9jYGK+//jpf+cpXmJyclN5ybW1tvPTSS0xOTrJ69Wpuu+02KRW/cOFCtm/fTltbGz6fj46ODjZs2MCBAwcoKyvDbDazc+dOzGYz69atw+Vy0dHRQWlpKVNTU7hcLrxeL1arlbGxMenFFxcXx5w5czCZTLLdcGxsTD4XAiNiXm10dFSqQIqkSVTPRNua2+2WyaBIBoTkvq7rcsZNtB4KWwAxDykQMYvqmZglFK2RwshZJAeArAgKARNd16V4kKjMid/pQjsIoVjZ0dEh20gnJiZkYilEWcQNCfH+Gx4eZmBgQApmiEpdeno6tbW1mM1m2VY4MTFBd3e3TEyHh4el0qVIcMXM6dDQEImJicyZM0eev/Hx8TJxSkhIkH53oiKfn59PQ0OD9Kysra2lo6NDeubZ7XbS0tJwOBwkJiZKZVWDwUBpaSnDw8NYrVZpTG4wGKitraWrq4vy8nJuuukm3nrrLV577TX53h4bG2PJkiWMjIywa9cuUlNTyc7OpqurSwrKlJeX09PTIxP47u5u1q1bx9DQEE6nk8TExI+I/8ybN4/f/OY3DA4OcscddzAyMoLX6yUzM5OYmBjq6uqIiYnhm9/8JlVVVVitVo4cOcKyZcsYHx8nOTlZitN8Gq60iMnF/lX9Yi/Udf3fgX8H0DTtoq9RKBQKheL/Iz7THhkREaGfO3cOl8vF9ddfT0REBAcOHJBm2PX19djtdiorKxkdHWXevHlS+MLn87Fw4UKMRiM1NTVMTk7S0dHBq6++Snh4OB6Ph1tvvVWazQpFQV3XqaurY/ny5ezdu5dNmzZhNptpa2vjvffeIzExkdzcXHp6eti/f79sgcvIyGBgYICRkRGsViu//e1vKSsrIz4+nqamJm6//XaSkpLkjMj4+Dhms5mKigo5s7V3716sVivh4eHk5ORgNBqlxH57e7tMcqqrqzl8+LD0aGtoaCAzM1NKuWdnZ7Njxw7uu+8+fvazn5GXl0dOTg6lpaU0Nzdz9uxZUlJSaG9vJyUlRV40JyYmkp+fLwVRHnroIaqrq6mpqUHXdSorK2UFraSkBK/XS3Nz80fmnESVQnjDiSTMYrEQERHBnDlz5EW4pmlSsCQ2NlZWQYSIhJhbElXTuLg4CgoKaGlp4cSJE2zdupUlS5bIqtVDDz1ETEwMTzzxBElJSdxwww0cOXKE8fFx2V5XVlZGQUEB8+fP58yZMxw5coTy8nImJib44Q9/yKZNm1i5ciWrVq2iq6uL+++/X4pHFBUV8eabb9La2kpWVhbz589H0zTsdjttbW2sXbsWo9HIG2+8wUsvvURjYyOFhYWkp6dz55134nQ62bFjB7t37+bQoUMUFBTw+uuvc8MNN9DW1sb27dvZtGkTMTExvP3220xNTTE4OMjk5CR2u52lS5eSlJQk11S0Lra2tsqqVkpKCuHh4fT29hIRESErwUKVVCTiQqlyamqKjIwMXC6XrEqJ5EzMWYpqi6gEieTuwrZKMX8n1Eanpqak0qSmabKSJFQmvV6vtFAQYiljY2PSaiI8PFwmomJmbHx8XM6ehoWFSQn+lpYWYFrRVKhWCql/YXMhElNAmnALgR5RmQsLC8Pn87Fs2TIsFgt9fX3MnTuX8fFxjh49SlhYmKw4ikRaVBUXLFhAcnIy1dXV2Gw2qXwaFxfHsmXL5Dyf0+kkKiqK2tpa3nzzTerq6nA6ndjtdurq6oiKipIeaRaLBYPBwKJFiwgJCWFoaIjk5GSZNKakpDA4OEh8fDyhoaEMDQ3x1ltvkZ+fL30ft2zZwrZt22hra5Mt0Dt27GD+/PmEhoayYMECRkZGqKioIDk5mdHRUfbs2UNRUZGsvqalpdHR0UFCQoIUbBFztwC7du1iyZIlTE1N8a//+q+YTCYee+wxHnzwQZqamvi3f/s3Tp06xSOPPMLSpUtJTU1l7dq1co62r6+PRYsWyTX6JD5rAmcXbR+apqUCjsDxbiD9gtfZgN7P+G8oFAqFQhGMXNE9MiIigqGhISIjI6UXW0hICGazGbvdjtfrZWhoiL6+Pkwmk7xTLUQFRHtjcnIy4+PjuFwuLBYL586dY926dbS3t/Pyyy9TUFCA1Wqlrq4Ov9/PW2+9hcViISoqit7eXhYuXEhBQQGTk5MUFxezZs0aVq1aRWZmJqdOnSInJ4fo6GhSU1OJiYmRkuIhISG8/fbbWK1W1q1bR1pampwzET5og4ODlJSUyCpEe3s7FRUVMsHo6OiQ1TeDwSC9y2JiYj4iCCKMhefNm8e9995LbW2tlHFPSEiQYiBhYWFSMlzMw8XExEgFvf7+fvx+P2VlZfj9foqLi3nnnXfIzMykv7+f3t5edF3n5MmTpKamcs0110h7BmHxIC6GQ0ND6e/vJykpSbYDpqSkSGn7OXPmMDAwQFRUFK2trdLDS8xxRURESGEDYT7t9/ux2WzY7XbGxsaoqqqS4izPPfcc2dnZPPnkk3i9XubNm0ddXZ1UIgwJCSErK4vc3FwOHjxIdnY2OTk5tLe3U1payv3334/P52Pz5s08/vjjUkU0LS2NF198kZqaGvbv309ycjIlJSWUlJQQGRmJ3W6XQh9PPPEEp0+fxu/388UvfpGYmBgsFguNjY0ArFq1ira2NtasWcPx48eZO3cuDoeDnTt3cuLECZKSkhgbG2PHjh2EhoZK4/OYmBiSk5NlYut2u+nr66Orqwun00lMTAxDQ0M0NjaiaRotLS2yPVLMiMXHx8uqmfAHFAmorutSiVEIyQgZf7/fLz3RxHGfzyctLYxGI6GhoZhMJpxOJ9HR0XL2cWxsTP5ctP6Nj4/LaotImsRjQCZUBoMBmE56hJLlhbN2Irk0mUzy5ouoLgohFTFbJSwFRJIpxFSioqJky65IED/44AN++tOfEhUVRXt7O1FRUaSmpspkScxuiSqjzWajt7dXtny2trYSFRVFbGysTK7EzJzNZsNkMnHw4EH6+/s5dOiQNA53u92UlpYCSFVLodQZHh5OVlaWFG8RQjTCd87j8TA4OMgHH3xAd3c3nZ2d2Gw2bDYbf/d3f8czzzzDhx9+iNvtJjw8nGPHjkmT+pUrV9La2ipnLMPCwqisrJR/UyFy09bWRmpqKqdPn8blcklDdqPRyOHDh0lPT2fTpk20tbUxMjLCPffcwy9+8QsefvhhnnjiCaqrq2ltbeWv/uqvqK+vl8bywufzwmru5fisRt47gS2Bx1uAHRccvyegtFUBuNX8m0KhUCj+i3FF98ipqSl6enrkPJvb7aa1tZVt27axe/du6urq5EyHMH92u92UlJRIiXW/309eXh719fUcO3aMXbt2yepRTU2NnKOz2Ww4HA7WrFnD008/TUFBAStXrpStm5GRkTz66KMUFRVhNBrJzMxk0aJFJCYmSoW+2NhYSkpKsNvt8kK6ra0Ns9lMWFgYR44coampCZhuhRwdHaWkpISMjAyysrKk9LdQe7Pb7XR2dsqksKenR7a35eXlkZ6eTnZ2NsnJyURGRjJv3jwefPBBbrjhBvbu3QtAXl4eRqORgoIC1q1bR15enpzdEXfYL0wmCwsLOXz4MA6Hg3vuuUcmIHFxcdx8881s2LCBkpISrrnmGpqbmzly5Ajp6ekYjUaMRiMDAwOcOXOGU6dO0d/fLxVBxcW+SKRF25jH45GqhHa7nYGBAdxut1T58/l80qbAZDLJv1V2drZUzezs7OTgwYNYLBZ5YSpMi3Nzc4mOjsZkMpGdnS3FUMQslMlkYuvWraxZs0bO+Lz55pskJSXx/vvvk5mZyd13382OHTt4/fXXiY6O5utf/zrLli0jIyOD559/njfffJMnn3ySrq4upqamyM3N5dZbb6WiooKysjKZ+K9du5b8/HxWrlxJfHw8d9xxB3V1dezfv1+2wzmdTrq6uhgeHpaJQmdnJ729vQwPD+N2u+Wx5uZm6YMo2uuEiISoyglvtAvbKkNCQqRkvGhtvFCERiR9QqTD7/fLypfwBXS73TLhE4maMJEXEvmTk5OMj49jt9vp6+uju7tbzoWJpBCmb9QAOBwOnE6nrM6Kyq7f75cm5eI909HRIYVXHA4Hg4ODDA4Oypk24e0WExMj2zDFXJ2wrBAWAGKGFZDnsdFoJDc3V9qYjI2NSXsGYXkwMjIiVWCFourw8PBH1D09Ho/8vV0uF4ODg+zatYtTp05x4sQJ7HY7Ho8Hv98vW3xFK7JouxRiQlFRUfJ3Hx4exuVyybZGcbPGYDDgcDg4efIkTU1NbN++HV3XKS4uprCwELfbTWdnJ7quExYWxujoKB9++CHt7e3Y7Xampqak8E90dLQUDhKCL21tbdjtdllJ7O3tldW+sbExtm/fzsKFCzl8+DATExP84Ac/IDExkXvuuYekpCTOnDnDH/7wB6nIOTQ0RGxsLLW1tVdOhVLTtN8wPYxt1jStG3gU+BHwH5qmfRXoBG4NvHw3sBFoBsaBez9VFAqFQqFQBCFXY4/0+XzSqDYnJ4eGhgZ0XcdkMnHixAkSEhJkO5XwQTIYDFRVVZGWlkZzczMRERG0tLTIylJ9fT2vv/462dnZeL1etm3bxnPPPcepU6cwm81UVlbyta99jZ6eHm666Sb8fj+PPvooDz30EPPnz5eiEg6Hg4aGBhYuXCjn7jRNo7Gxkfj4eD73uc9RVlbG17/+dW699VaamprkxXlPT4+UQD937hw1NTVERkbK2RKfz0d7ezuZmZk4nU4aGxsxm834/X55tzo1NRW/38+6devIyMjAZDKxefNmuru7+Zd/+RcWLlwo29YyMjIoLi7G5XJJkQmDwSAFT4THV3JysqweJSUlSXn+G2+8kezsbDZu3Ehvby8JCQns2rWLu+++m9OnT3P27FmsVitLliwhOztbtnwODAxIRURRNbxQvU88drlcREZGyrka4e8n5uHEPJOoRABS/EDMOh44cIA33niDjRs3ct9999HV1SXFRYSHW0pKCn6/n/LycilG43a7OXv2LOfPn6e8vJwPP/wQq9XKD37wA/Lz84mOjuaNN97g3XffZenSpTzyyCOsW7eOzZs38+STT0r10Mcff5ytW7cyMjJCZmYmcXFxTExMMDg4SEJCAl1dXVRWVtLZ2UlBQQGxsbHYbDaOHDmC0Whk2bJlJCUl0dzcjKZp1NXVyeRczBcODw8TFxfH5OQkLpdLWh7ExcXJ1juHw8GZM2eIiIiQgiGiZXhkZISRkREpqBETE4PRaJTnmhAoGRoaklU/r9dLZGSkvJEgfMhEq6QQChF/G+EF6PF4pIKquEgX1S9xw0XXdTmPJpJJ4YkmWmuFMIlolxTtnCaTSapgCtGUmJgYWWUXNxTEXKXJZKKrqwu/3w8gK9Dh4eHyPSUqcVarlYKCAtmiXFtby4kTJzCZTCQkJEhRF6PRiN1up729nbKyMux2O6Ojo/IcEEqqooI+ODhIS0sLXV1dUmhJVDUnJiZIT0+XNxtEBVtUCY1GI+Pj4yQlJUlbAyHuImb1RBXS6XQyMDAgxZ/sdrsUMHE4HOzZs0eqVxqNRnp6eigpKZFG5ULBVMymXigOI9pxheeiSCrFzRVd19m2bRvf/va3aWtrQ9d1Hn30Ub7//e9zyy23UFVVRXNzM6dOnWL16tUsWbKE999/X84Nfxo+jQrlnZf40fUXea0OfPNT/csKhUKhUAQ5V2OPFFWAyMhIqXTW29tLfX29VIf727/9Ww4dOkRLSwtr1qzhww8/pL6+nj179mAwGFi5ciWHDx+mqqoKTdNwuVysXr0ar9cr7xy/8MILrFq1il/96lds3bqVI0eO8L3vfY++vj56enq45557eOutt/j+979Pd3c3t99+uxTV6Ojo4Ny5c6xZs4bQ0FAqKysxmUysXbuWM2fOUFFRQXNzM0ePHmXXrl2Mjo5KWXDx+xkMBqampli8eLGszCUmJlJaWorL5ZIy/pGRkdJc2GKxoOs61113HV6vl/fff5+ioiKam5u59dZb+f3vf09TU5O8IK2vryc+Pp7CwkLOnDlDbW0tIyMjGI1GKTzhcrmoqqrC6/WyevVqrFYrk5OTlJeXs3XrVl588UV0XScvL4+0tDQOHjwoxQ/ExWZ2djbp6ek4nU55EZiSkiIvjt1utzRqFq16GRkZMqkcHx+Xhs0XJiECMWtlMpkwGAyyatnY2Mh7771HU1MTRUVFDA0NERYWxooVK8jKypLtZSEhIfz617+muLgYj8fDCy+8wK5du8jNzSUtLY1du3bx61//Gq/Xy1e+8hV8Ph933XUXFouFxx9/nJGREdatWyfbQufMmcPSpUs5ePAgnZ2dlJeX4/V6EbObQsFUKC0CtLW1ERcXx8DAgDSgbmhooL6+ntraWtatW0dCQgKjo6OUl5dL64GWlhZaW1uJjY1lcnJSzhW63W4GBweprKzkgw8+kO2Lra2tshIpxGPE39zv9/+JfYOu6/h8Pikw43K5pJWFSETi4uLo7++XKrAhISGyiirEQ0QFa3R0lMnJSSkiIip8wudPzO2Jmx+Tk5NyllLMTyYkJODz+fB6vdIvLDY2Vhpui5ZC8X5JSkpiZGREJoojIyNSPEQIowwPD2Oz2RgeHmZiYgKPxyNbkMPCwti/fz8JCQmYTCb27dtHRUUFHo+HkydPSkXHqKgorFarTHTtdrtsVW5paaGoqIi+vj7Gx8eJiYmRYi1i3S0WCzabjcHBQfk7xMTESMVag8EgZ9Kio6OlVYRQ0+zv75eCQZqmYbFY5Llls9mYmpri2LFjfP7zn6e/v5+4uDhWrVrFyy+/jM/no7a2lpaWFlJSUkhLS6O2tpasrCzi4uLw+/1ynle0wIq21ZiYGCYmJujp6ZEiN6Ghoaxdu1b63a1atYrjx4+TnZ3NwMAAU1NTlJWV0dfXR0lJCV1dXRQVFUn/xQvnbj8NV1rERKFQKBQKxRVk4cKFDA0N8a1vfYvGxkZMJhNvvvkm+fn5tLa2kp2dzTvvvEN0dDT79u3jueeew2q1snv3bpYtWyarPuHh4VitVtra2li/fj0vvfQSN998M//wD//Aj370I26++Waqq6u54YYb6OjooLy8HF3XycnJkS11v/vd7/jxj39MeXm5lFN3uVwUFxfLViKfz0diYiJlZWXExMRw3XXXkZaWhq7rvPrqq8TGxuJwOGTFQsy92Gw24I8Jy9DQEFlZWcTGxhIWFiYvpLxeL1VVVaSkpFBWVobVaqW4uFi2sb366quUl5dTXl7O8PAw69evp6GhgeXLl3PmzBmSkpJk69mF7WXi4ikzM5Ply5fzyiuvkJiYyM6dO/npT38q562EEMTGjRvp6OjgwIEDjI6OcubMGTkTk5WVJY2tu7u75SyPUAlcsGABdrtdzu15vV5ZTTEajZhMJgB5ES4ETiIjI+V8lVDcE5YD8fHx9PX1MTg4yMsvv8y9994rZ4m++MUvsn//fnbu3MmBAwewWCwUFxdTUVHBM888Q2NjIw888AAbN27knXfeob29naKiIiwWC2NjYzz44IPs3r2bd999l/Xr17N582YOHTrEL3/5S5566ik2bNhAX18fNTU1TE1Ncd111/Hee+/R3d2Nx+MhMTFRegEKw3OHwyGTitDQUKxWK6mpqRw9ehSn00lsbCz5+flMTEyQlJQkq0jCQsBkMsn5IaESCdNVyejoaFpbW+nv7ycrKwtN0+jo6CAkJITh4WFSU1NlAijULUUi4PF4ZAInEh6hKCmUKkWS4HQ6mTNnjkz6AKlmKrz+kpOTGRoaIi4uToqjCO+6yclJDAYDMTExDA8PS/83Macm1kacK8LwW8QmqoRC+EbMg4rqrvhvYLpKe6GZvPDOMxqN8n0olDr9fj/vvvsufr+f5cuXc/vtt/PUU0/J89Hr9WKxWDh//jzx8fHyfehwOOjp6ZGV3sHBQZnkC7GUhoYGoqOjZbtkfHy8tM7IzMyUJuTiy+l0kpeXJ5+LdRKzolFRUdK8W8z7DQwMfER1U9iNiOrzNddcw/PPPy9Fl4SFyNTUFI2NjcyfP1/69YmbRQ6HQ4oqDQ0NyZnKM2fO4Ha7yc3N5ezZs9JGITY2VlqNlJSUUFVVhcfj4fjx45SWlrJp0ybpLdfT00NGRganTp2iuLj4U+0LmsgmZxKlQqlQKBT/pajSdX3xTAcRLCQkJOgVFRWUlJSQmpoqFdtEi9+WLVs4d+4clZWVvPbaa+zbt4+BgQHi4uKw2Wz84z/+I8uXL6elpYWJiQmeffZZvvGNb6DrOvfddx9ZWVm89tprmM1mVq9ezdDQEI8++iitra2sWbOGhx56iGPHjlFXV0dNTQ1RUVEsW7aM6Ohoenp6uP322+Wd8LCwMMbGxsjJyaG7u5vW1lZWrFhBc3MzTqeT/v5+jh49yt69e0lLS8NmszFnzhwyMzOJioqSCd3Q0JBUm5yYmGBkZEQa4wpzcnFh1NfXx86dO/n973/PCy+8wOTkJC+++CJ1dXVomkZpaSlut5uioiI0TWNqaoru7m46OjrkxXpKSgpOpxNd19m3bx8pKSkcPHiQ66+/nvvvv5+NGzeyYMEC7r77bn7+859TUVHBvffeS2FhIU1NTfT09PDP//zPGI1GwsPDef/99xkdHWXRokXyYl+0aYaFhZGfnw/AuXPn5IW68I8T3lpipkvXdXkxKqo2UVFRsromvM1Ea9rAwADnz5/npptuYsWKFdTU1HDLLbeQlpZGf38/c+fOlTNN6enpsor5N3/zN6xYsYKIiAjWr19PY2Mje/fu5b333iMtLY2bbrqJyMhIaXrscrmYmJggOzub/Px8KU9/7NgxKisreeyxx3A6nSxcuJDc3FwWL16My+XCbrczODgoEzlRbRIzmZqm0dPTQ2ZmJjU1NWiaxo033sjk5CTd3d10dXWRmppKcXGx9IITohl2u53JyUmcTicGgwGfz8ff//3fEx0djdPp5JVXXmFwcJBly5aRmppKfHy8nGkbHh4mPDyclpYWMjIyZGVvZGSErq4ubDYbhYWFUm1T0zSWLl2KxWKRs3nd3d3Ss0+oiHo8HmnqHRoaKis5Pp9PegtOTk7K6pSYqRM3OiIiImTFJyQkRLbRivlF8fuL5Ea8R/r7+2UVUKiXCmVLEZOY/woNDZWiR11dXXi9XiorKxkYGOC73/0ur776KidPnqSoqIizZ89iNpvp6emhsLCQ0NBQXC4XERER1NXVER8fT3JyMqGhodKUWrRKulwuxsbGyMzMlN584+Pj5OTkkJCQwNjYGB6Ph9DQULKysujq6sJkMsnfT7SDCtXLqKgoHA4HdrtdngvCYkTXdQwGA3l5eaSmpmI0GqXyqNvtpqCggM7OTnkzSLR4ms1msrOzqaiowGq14vV6qa6uJi0tjcOHD+Pz+eTNkpGRETmvKlox8/PzSU9Px+PxMH/+fOkBmZqaSl9fH/X19WRmZuLxeKivr+c73/kOiYmJPPDAA1RUVJCVlUVTU9MnegmoBE6hUCgUVxuVwP0Z2Gw2fc2aNQD4/X76+vqkeW9paSl33XUXDodDXsTn5eUxNDTE4cOHaWpqor+/ny9/+ctkZmbS2trKqVOn+Ou//muam5tZsGAB8+bNY+3atVRVVeFyuUhISGDHjh10dnaSnj4tmrl582YaGxsZGRlh3rx5vPPOO6xcuZKoqChOnz7N3LlzCQkJwel0YjKZ2L59Ow0NDRQXF7NkyRLpu/XKK6/Iqszx48dZsWIFhYWF+P1+PB4PNpuNtrY2aQMgKiAdHR1YLBZCQ6cbhxITE4mLi2P58uU0NTXJCs2NN97Ihg0beO6550hKSkLXddLT0yktLZWzL16vl66uLqmG19raysjICP39/RQUFEghgd27d2M2m3nssccYGBiQFaOamhrOnTvH9ddfj9lslm2CzzzzDHv37pVVybfffpv169eTkZEhPbI8Hg/x8fEsWLBA+la5XC7Cw8NJSkoiOjpaKumJSp/w0RMX8fBHLy8xz+fz+RgeHpZiEqtXr+arX/0qFRUVHD16lIcffpiVK1eSmZnJxMQEU1NT1NbWUlhYyG233UZXVxejo6OcOnWK22+/HavVyo4dO/jggw+wWq3YbDZ+/vOfc+LECend53Q6pUBIXl4eISEhMmF49tlnmZiYoL+/n7y8PJKSkpgzZw47d+6UbYqi8uh0Ojl//jxJSUlYrVb53s7Pz+fpp5+W7ZMOhwODwSCrOrquk5KSIquVIhlsaGjA6XQSHx9PXFwcd955Jy6Xi0OHDklfQ7GOYp5MvHfDw8Px+/1ERESQnp5OZGSkrPympaXJGwwCIRQi2gCFWqzZbAaQCZWwCRAtnAaDQXqaiaRCJOwxMTFyxkqoVBoMho+oU4rEUqhLapomhVaEdYBI7MRx0RYIyFZW8d+Jyq84R6xWK9u2bWPRokVs2bKFPXv2sHfvXqKiokhKSpLv1YGBAbxer5ztGxsbk76DokIYGxuL3W6X1Tqfz0dGRgZxcXFSJETMhYqZifVisgAAC4pJREFUSZF8ibm/qKgoOWsm2j3Dw8NxOBxS5Mbj8ch2zpMnTzJ37ly6u7ul6qxQfBVzhGI2TiTGra2tpKSkkJubS2JiIosXL2b58uVYLBbZzj08PIzD4ZCtzo2NjQwODkoBorGxMSmY5Pf7pd3I0aNHGRoaYvny5UxNTaHrOmvWrMHtdvPaa69RUVHB0qVLGRkZoaGhgZaWFpXAKRQKhWLWoRK4P4OioiL9xz/+MW63W8rwCzPg6Ohouru7efbZZ6Wp9MjICB6PR14M+nw+5s2bR1xcHPX19TQ0NJCTkyMFTJYtW8b58+d55JFHSE9Px263k56ejsPhoL6+nmuvvVbeRU5KSqKmpobw8HDMZrNsiaqursbr9dLZ2cmePXs4dOgQNpuN5uZmaSjd1NTE8uXLMRqNXHfddWRlZZGYmMh1110nhSecTieLFy+WcyCJiYkkJyfjcDjQdZ3+/n66u7t59913ef7556UHXktLC+vXr2f16tU0NjZy1113YTabKSkpYcOGDWRnZ1NfXy8vKoVIhUgsXS6XVPIUCcTcuXPJysrie9/7HqOjo2zatIn+/n4sFguxsbEcPnxYXkD/5Cc/kap3YWFhHD9+nMWLF/PAAw/I9q/rr7+ezMxMac59oQqh+BJzdH6/Xxozi9lAIZYhfLXELJ0wGXe73bS1tdHa2iqVINvb2+nu7pYm8KKiuWXLFlatWoXD4ZBKeY888gh5eXm0t7fzxBNPUFVVxW233UZ1dTUHDhzgC1/4AgsXLmRwcJDq6mop+PL5z3/+I1WRp59+ml/84he43W6Sk5NJSEggIyOD9PR0+XfJysrC7/cTGhoq18TpdKJpGrW1tbS1tXHnnXfS3t4uqzkXmqwLLy5xHmRkZNDb28vY2Jg8JyYmJkhOTsbpdJKamsq5c+dobm4mOjqalJQUurq6iIqKIjs7m5aWFtn25nK5ZGImkozDhw8THR1NWlqaNHw+d+4c9fX1mM1m6d8lzOVFIpiQkCDbPIV1h2ibFLNcQkXyQnVIkSwKlUThTTc8PCwTdlE1EwqcYWFhuFwumYAC0nNOVLE8Hg8Wi0UmoXFxcdKmQRiC/+EPf+CRRx7hS1/6Evv27SM1NRWv14vZbObaa68lLS2NefPmMXfuXJlsCmGZoaEhXC6XnP3z+Xz09fVJs/WwsDAKCwsZHBxk7dq1jI+Py99Z3KTwer2kp6fT3t4ulV11XcdisXzES6+vr4/o6Gj5/xCqqh6PB5fLRWNjI6Ojo/T29uJ0OqXASXNzMz09PZw4cYKJiQk5hygqgnl5ecTExFBYWEhCQgJms5klS5YwOTmJyWTCbDbLttDExER6e3ulNcjk5KT07LNYLHI2tbW1lc7OTux2O3a7XYqe5OTksGfPHnp6ekhLSyMjI4MvfelLtLa2Bk0CNwo0znQcnxIzMDDTQXwKgiVOCJ5YgyVOCJ5YgyVOCJ5YgyHOTF3XLTMdRLCg9si/CCrOK0+wxBoscULwxBosccLsj/VT7Y+zRcSkMVjuxmqadiIYYg2WOCF4Yg2WOCF4Yg2WOCF4Yg2WOBV/FmqPvMKoOK88wRJrsMQJwRNrsMQJwRXr5fisRt4KhUKhUCgUCoVCobjKqAROoVAoFAqFQqFQKIKE2ZLA/ftMB/BnECyxBkucEDyxBkucEDyxBkucEDyxBkucik9PMP1NgyVWFeeVJ1hiDZY4IXhiDZY4IbhivSSzQsREoVAoFAqFQqFQKBSfzGypwCkUCoVCoVAoFAqF4hOY8QRO07TPaZrWqGlas6ZpD890PBeiaVq7pmmnNE2r1jTtROBYgqZpezVNawp8j5+h2H6laZpD07S6C45dNDZtmp8F1rhW07SyWRDrP2ma1hNY22pN0zZe8LPvBmJt1DRtw1WMM13TtP2aptVrmnZa07RvBY7PqnW9TJyzcU2NmqYd0zStJhDr9wPHszVNqwys6XZN08IDxyMCz5sDP8+a4Ti3aZrWdsGaLgocn+lzyqBp2oeapr0ReD6r1lNx5VB75GeOLSj2SLU/XtVYZ9W6Bsv++Amxqj1yptB1fca+AAPQAuQA4UANUDyTMX0svnbA/LFj/xt4OPD4YeB/zVBs1wJlQN0nxQZsBPYAGlABVM6CWP8J+O8XeW1x4H0QAWQH3h+GqxRnKlAWeBwLnA3EM6vW9TJxzsY11YCYwOMwoDKwVv8B3BE4/hTwQODxN4CnAo/vALbPcJzbgFsu8vqZPqe+A7wMvBF4PqvWU31dsb+z2iM/e2xBsUdeIs7Z+FkeFPvjJ8Q6q9b1MvvOrPs8v0ys21B75Ix8zXQFbinQrOt6q67r54FXgM0zHNMnsRl4PvD4eeALMxGErusHgaGPHb5UbJuBF/RpjgImTdNSr06kl4z1UmwGXtF13afrehvQzPT75C+Orut9uq6fDDweBeoBK7NsXS8T56WYyTXVdV33BJ6GBb50YA3w28Dxj6+pWOvfAtdrmqbNYJyXYsbOKU3TbMCNwDOB5xqzbD0VVwy1R35GgmWPVPvjVY31UszIugbL/vgJsV4KtUf+hZnpBM4KdF3wvJvLn2RXGx14W9O0Kk3TvhY4lqzreh9Mf0gASTMW3Z9yqdhm6zr/t0Bp/VfaH9tsZkWsgTJ6KdN3mWbtun4sTpiFaxpoZagGHMBepu9uDuu6PnmReGSsgZ+7gcSZiFPXdbGmPwys6eOapkV8PM4AV3NNfwJsBfyB54nMwvVUXBFm/DPmE1B75F+OWfdZLgiW/RFm/x4ZLPvjxWJVe+TMMtMJ3MWy3Nkki7lC1/Uy4Abgm5qmXTvTAX1GZuM6PwnkAouAPuD/BI7PeKyapsUAvwO+rev6yOVeepFjVy3Wi8Q5K9dU1/UpXdcXATam72oWXSaeGYv143FqmlYCfBcoBJYACcA/zmScmqZ9HnDoul514eHLxDLj55PiP8Vs//upPfIvw6z8LIfg2R8hOPbIYNkfQe2Rs42ZTuC6gfQLntuA3hmK5U/Qdb038N0B/IHpk8suysCB746Zi/BPuFRss26ddV23Bz4M/MAv+WO7wozGqmlaGNMf+C/puv77wOFZt64Xi3O2rqlA1/Vh4ADT/fAmTdNCLxKPjDXw8zl8+vaiKx3n5wKtOLqu6z7gOWZ+TVcAN2ma1s50O90apu82ztr1VPynmBXn7qVQe+Rfhtn6WR4s++OlYp2t6xqILSj2R1B75GxhphO448DcgDpMONMDhDtnOCYANE2L1jQtVjwG1gN1TMe3JfCyLcCOmYnwolwqtp3APQFVoArALVoeZoqP9UJ/kem1helY7wgoA2UDc4FjVykmDXgWqNd1/f9e8KNZta6XinOWrqlF0zRT4HEksJbpeYT9wC2Bl318TcVa3wK8q+v61bhrd7E4Gy64MNGY7pm/cE2v+t9e1/Xv6rpu03U9i+nPy3d1Xf8ys2w9FVcMtUdeWWbVZ/mlmKWf5UGxP14u1tm2rsGyP14mVrVHziT6DKuoMK1Uc5bpvt//MdPxXBBXDtOqRDXAaREb072x+4CmwPeEGYrvN0y3AEwwfQfhq5eKjekS8S8Ca3wKWDwLYv11IJZapk+g1Ate/z8CsTYCN1zFOFcyXTqvBaoDXxtn27peJs7ZuKYLgA8DMdUB/zNwPIfpDbIZeBWICBw3Bp43B36eM8NxvhtY0zrgRf6owjWj51QghtX8UWFrVq2n+rqif2e1R362+IJij7xEnLPxszwo9sdPiHVWretl9p1Z93l+mVjVHjlDX1rgF1AoFAqFQqFQKBQKxSxnplsoFQqFQqFQKBQKhULxKVEJnEKhUCgUCoVCoVAECSqBUygUCoVCoVAoFIogQSVwCoVCoVAoFAqFQhEkqAROoVAoFAqFQqFQKIIElcApFAqFQqFQKBQKRZCgEjiFQqFQKBQKhUKhCBJUAqdQKBQKhUKhUCgUQcL/A7LnzR5FprfZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img1_path = 'C:/Users/ShiNian/Desktop/img1.png'\n",
    "img2_path = 'C:/Users/ShiNian/Desktop/img2.png'\n",
    "gt_path = 'C:/Users/ShiNian/Desktop/gt.png'\n",
    "out_path = 'C:/Users/ShiNian/Desktop/output.png'\n",
    "\n",
    "\n",
    "img1 = mpimg.imread(img1_path)\n",
    "img2 = mpimg.imread(img2_path)\n",
    "gt = mpimg.imread(gt_path)\n",
    "gt[gt>0]=1\n",
    "out = mpimg.imread(out_path)\n",
    "\n",
    "plt.figure(figsize=(15,4))\n",
    "\n",
    "plt.subplot(221)\n",
    "plt.imshow(img1)\n",
    "plt.subplot(222)\n",
    "plt.imshow(img2)\n",
    "plt.subplot(223)\n",
    "plt.imshow(gt,cmap='gray')\n",
    "plt.subplot(224)\n",
    "plt.imshow(out)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpimg.imsave(gt_path,gt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Input"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-31T02:11:42.553277Z",
     "start_time": "2019-10-31T02:11:42.453540Z"
    }
   },
   "outputs": [],
   "source": [
    "data_transforms = transforms.Compose([\n",
    "    transforms.ToTensor() # 转化为Tensor\n",
    "])\n",
    "\n",
    "x1 = data_transforms(img1)\n",
    "x2 = data_transforms(img2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-31T02:11:42.566253Z",
     "start_time": "2019-10-31T02:11:42.556269Z"
    }
   },
   "outputs": [],
   "source": [
    "class SiameseNet(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(SiameseNet, self).__init__()\n",
    "        self.featureExtract = nn.Sequential(\n",
    "            nn.Conv2d(3, 64, 3, padding=1),\n",
    "            nn.Conv2d(64, 64, 3, padding=1),\n",
    "            nn.Conv2d(64, 64, 5, padding=2),\n",
    "            nn.Conv2d(64, 32, 5, padding=2),\n",
    "            nn.Conv2d(32, 16, 1, padding=0),\n",
    "        )\n",
    "        \n",
    "\n",
    "    def forward(self,x1,x2):\n",
    "        x1 = self.featureExtract(x1)\n",
    "        x2 = self.featureExtract(x2)        \n",
    "        x = F.pairwise_distance(x1,x2,p=2)\n",
    "        \n",
    "        return x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-31T04:09:36.868760Z",
     "start_time": "2019-10-31T04:09:36.833848Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3888"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('./data.csv')\n",
    "train = pd.read_csv('./train.csv')\n",
    "test = pd.read_csv('./test.csv')\n",
    "data.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-06T04:41:15.168669Z",
     "start_time": "2019-11-06T04:41:07.197527Z"
    }
   },
   "outputs": [],
   "source": [
    "# %load test.py\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "import torchvision\n",
    "from torchvision import transforms\n",
    "\n",
    "import matplotlib.pylab as plt\n",
    "import numpy as np\n",
    "\n",
    "from models import SiameseNet\n",
    "from data_loader import myData\n",
    "from configs import Config\n",
    "from utils import log\n",
    "\n",
    "log = log('./log.log')\n",
    "\n",
    "cf = Config()\n",
    "batch_size = cf.batch_size\n",
    "num_epochs = cf.num_epochs\n",
    "num_workers = cf.num_workers\n",
    "leaning_rate = cf.learning_rate\n",
    "momentum = cf.momentum\n",
    "weight_decay = cf.weight_decay\n",
    "show_every = cf.show_every\n",
    "save_every = cf.save_every\n",
    "test_every = cf.test_every\n",
    "save_path = cf.save_path\n",
    "\n",
    "test_batch = 156  # 100 or 200\n",
    "test_epoch = 100\n",
    "\n",
    "model_name = '{}Siamese-BCELoss-epoch-{}-batch-{}.pt'.format(\n",
    "    save_path, test_batch, test_epoch)\n",
    "\n",
    "log.info(model_name)\n",
    "\n",
    "net = SiameseNet().to('cuda:0')\n",
    "net.load_state_dict(torch.load(model_name))\n",
    "net.eval()\n",
    "\n",
    "myTransform = transforms.Compose([\n",
    "    transforms.ToTensor()\n",
    "])\n",
    "\n",
    "testSet = myData(dataPath='./test.csv',\n",
    "                 transform=myTransform)\n",
    "testLoader = DataLoader(dataset=testSet,\n",
    "                        num_workers=num_workers,\n",
    "                        shuffle=False,\n",
    "                        batch_size=batch_size)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-06T04:42:22.817424Z",
     "start_time": "2019-11-06T04:42:22.812441Z"
    }
   },
   "outputs": [],
   "source": [
    "if cf.use_gpu:\n",
    "    device = torch.device(\"cuda:0\")\n",
    "    log.info(device)\n",
    "    net = net.to(device)\n",
    "    \n",
    "def binaryImage(img):\n",
    "#     print(img.size)\n",
    "    img = np.array(img)\n",
    "    print(img.shape)\n",
    "    img[img>0]=255\n",
    "    return img\n",
    "\n",
    "deTransform = transforms.Compose([\n",
    "    transforms.ToPILImage(),\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-06T06:23:41.359042Z",
     "start_time": "2019-11-06T06:23:40.674214Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4, 112, 112) (4, 1, 112, 112)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for batch, data in enumerate(testLoader, 1):\n",
    "#     img1, img2, gt, gt_name = data[0].to(device), data[1].to(\n",
    "#         device), data[2].to(device), data[3]\n",
    "#     output = net(img1, img2)\n",
    "\n",
    "#     bs,c,h,w = gt.shape\n",
    "#     out_img = deTransform(output.reshape((1, 112, -1)).cpu())\n",
    "#     gt_img = deTransform(gt.reshape((1, 112, -1)).cpu())\n",
    "\n",
    "#     plt.subplot(211)\n",
    "#     plt.imshow(out_img,cmap='gray')\n",
    "#     plt.subplot(212)\n",
    "#     plt.imshow(gt_img,cmap='gray')\n",
    "#     plt.show()\n",
    "#     print(gt_name)\n",
    "    if batch == 41:\n",
    "        img1, img2, gt, gt_name = data[0].to(device), data[1].to(\n",
    "            device), data[2].to(device), data[3]\n",
    "        output = net(img1, img2)\n",
    "        \n",
    "        np_out = output.detach().cpu().numpy()\n",
    "        np_gt = gt.detach().cpu().numpy()\n",
    "        \n",
    "        m = 5e-4\n",
    "        np_out[np_out>m]=255\n",
    "        np_out[np_out<m]=0\n",
    "\n",
    "        print(np_out.shape,np_gt.shape)\n",
    "        plt.figure(figsize=(6,12))\n",
    "        plt.subplot(121)\n",
    "        plt.imshow(np_out.reshape((448,112)))\n",
    "        plt.subplot(122)\n",
    "        plt.imshow(np_gt.reshape((448,112)))\n",
    "        plt.show()\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-06T07:03:19.865883Z",
     "start_time": "2019-11-06T07:03:18.897301Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2231a87f2b0>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img1 = gt_name[0].replace('gt','img1').replace('GT','')\n",
    "img1 = plt.imread(img1)\n",
    "img2 = gt_name[0].replace('gt','img2').replace('GT','')\n",
    "img2 = plt.imread(img2)\n",
    "GT = plt.imread(gt_name[0])\n",
    "plt.subplot(131)\n",
    "plt.imshow(img1)\n",
    "plt.subplot(132)\n",
    "plt.imshow(img2)\n",
    "plt.subplot(133)\n",
    "plt.imshow(GT)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gt_name[0].replace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gt_name[0].replace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gt_name[0].replace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 自定义损失函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-01T10:01:11.529389Z",
     "start_time": "2019-11-01T10:01:07.867672Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([]) tensor(16755.2930, requires_grad=True)\n"
     ]
    }
   ],
   "source": [
    "x1 = np.random.randint(0,2,size=(8,112,112))\n",
    "x2 = np.random.rand(8,112,112)\n",
    "\n",
    "z1 = np.random.randint(0,2,size=(8,112,112))\n",
    "z2 = np.random.rand(8,112,112)\n",
    "\n",
    "x1 = torch.tensor(x1).to('cuda')\n",
    "x2 = torch.tensor(x2).to('cuda')\n",
    "\n",
    "class loss(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(loss, self).__init__()\n",
    "\n",
    "    def forward(self, D, Y):\n",
    "        loss = 0.0\n",
    "        m = 1  # 可能设置为一个可以学习的参数\n",
    "        D = D.cpu().detach().numpy()\n",
    "        Y = Y.cpu().detach().numpy()\n",
    "        f_c = Y.sum()/Y.size\n",
    "        w_u = 0.5/(1-f_c)\n",
    "        w_c = 0.5/f_c\n",
    "        loss = np.sum(Y*pow(np.maximum(0, m-D), 2)*w_c + (1-Y)*pow(D, 2)*w_u) / 2\n",
    "\n",
    "        return torch.tensor(loss, requires_grad=True)\n",
    "\n",
    "# from models import loss\n",
    "\n",
    "criterion = loss()\n",
    "output = criterion(x2,x1)\n",
    "print(output.shape,output)\n",
    "output.backward()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 原论文结构"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %load xqf/codefromfrance/siamunet_conc.py\n",
    "# Rodrigo Caye Daudt\n",
    "# https://rcdaudt.github.io/\n",
    "# Daudt, R. C., Le Saux, B., & Boulch, A. \"Fully convolutional siamese networks for change detection\". In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 4063-4067). IEEE.\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch.nn.modules.padding import ReplicationPad2d\n",
    "\n",
    "class SiamUnet_conc(nn.Module):\n",
    "    \"\"\"SiamUnet_conc segmentation network.\"\"\"\n",
    "\n",
    "    def __init__(self, input_nbr, label_nbr):\n",
    "        super(SiamUnet_conc, self).__init__()\n",
    "\n",
    "        self.input_nbr = input_nbr\n",
    "\n",
    "        self.conv11 = nn.Conv2d(input_nbr, 16, kernel_size=3, padding=1)\n",
    "        self.bn11 = nn.BatchNorm2d(16)\n",
    "        self.do11 = nn.Dropout2d(p=0.2)\n",
    "        self.conv12 = nn.Conv2d(16, 16, kernel_size=3, padding=1)\n",
    "        self.bn12 = nn.BatchNorm2d(16)\n",
    "        self.do12 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.conv21 = nn.Conv2d(16, 32, kernel_size=3, padding=1)\n",
    "        self.bn21 = nn.BatchNorm2d(32)\n",
    "        self.do21 = nn.Dropout2d(p=0.2)\n",
    "        self.conv22 = nn.Conv2d(32, 32, kernel_size=3, padding=1)\n",
    "        self.bn22 = nn.BatchNorm2d(32)\n",
    "        self.do22 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.conv31 = nn.Conv2d(32, 64, kernel_size=3, padding=1)\n",
    "        self.bn31 = nn.BatchNorm2d(64)\n",
    "        self.do31 = nn.Dropout2d(p=0.2)\n",
    "        self.conv32 = nn.Conv2d(64, 64, kernel_size=3, padding=1)\n",
    "        self.bn32 = nn.BatchNorm2d(64)\n",
    "        self.do32 = nn.Dropout2d(p=0.2)\n",
    "        self.conv33 = nn.Conv2d(64, 64, kernel_size=3, padding=1)\n",
    "        self.bn33 = nn.BatchNorm2d(64)\n",
    "        self.do33 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.conv41 = nn.Conv2d(64, 128, kernel_size=3, padding=1)\n",
    "        self.bn41 = nn.BatchNorm2d(128)\n",
    "        self.do41 = nn.Dropout2d(p=0.2)\n",
    "        self.conv42 = nn.Conv2d(128, 128, kernel_size=3, padding=1)\n",
    "        self.bn42 = nn.BatchNorm2d(128)\n",
    "        self.do42 = nn.Dropout2d(p=0.2)\n",
    "        self.conv43 = nn.Conv2d(128, 128, kernel_size=3, padding=1)\n",
    "        self.bn43 = nn.BatchNorm2d(128)\n",
    "        self.do43 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv4 = nn.ConvTranspose2d(128, 128, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv43d = nn.ConvTranspose2d(384, 128, kernel_size=3, padding=1)\n",
    "        self.bn43d = nn.BatchNorm2d(128)\n",
    "        self.do43d = nn.Dropout2d(p=0.2)\n",
    "        self.conv42d = nn.ConvTranspose2d(128, 128, kernel_size=3, padding=1)\n",
    "        self.bn42d = nn.BatchNorm2d(128)\n",
    "        self.do42d = nn.Dropout2d(p=0.2)\n",
    "        self.conv41d = nn.ConvTranspose2d(128, 64, kernel_size=3, padding=1)\n",
    "        self.bn41d = nn.BatchNorm2d(64)\n",
    "        self.do41d = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv3 = nn.ConvTranspose2d(64, 64, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv33d = nn.ConvTranspose2d(192, 64, kernel_size=3, padding=1)\n",
    "        self.bn33d = nn.BatchNorm2d(64)\n",
    "        self.do33d = nn.Dropout2d(p=0.2)\n",
    "        self.conv32d = nn.ConvTranspose2d(64, 64, kernel_size=3, padding=1)\n",
    "        self.bn32d = nn.BatchNorm2d(64)\n",
    "        self.do32d = nn.Dropout2d(p=0.2)\n",
    "        self.conv31d = nn.ConvTranspose2d(64, 32, kernel_size=3, padding=1)\n",
    "        self.bn31d = nn.BatchNorm2d(32)\n",
    "        self.do31d = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv2 = nn.ConvTranspose2d(32, 32, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv22d = nn.ConvTranspose2d(96, 32, kernel_size=3, padding=1)\n",
    "        self.bn22d = nn.BatchNorm2d(32)\n",
    "        self.do22d = nn.Dropout2d(p=0.2)\n",
    "        self.conv21d = nn.ConvTranspose2d(32, 16, kernel_size=3, padding=1)\n",
    "        self.bn21d = nn.BatchNorm2d(16)\n",
    "        self.do21d = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv1 = nn.ConvTranspose2d(16, 16, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv12d = nn.ConvTranspose2d(48, 16, kernel_size=3, padding=1)\n",
    "        self.bn12d = nn.BatchNorm2d(16)\n",
    "        self.do12d = nn.Dropout2d(p=0.2)\n",
    "        self.conv11d = nn.ConvTranspose2d(16, label_nbr, kernel_size=3, padding=1)\n",
    "\n",
    "        self.sm = nn.LogSoftmax(dim=1)\n",
    "\n",
    "    def forward(self, x1, x2):\n",
    "\n",
    "        \"\"\"Forward method.\"\"\"\n",
    "        # Stage 1\n",
    "        x11 = self.do11(F.relu(self.bn11(self.conv11(x1))))\n",
    "        x12_1 = self.do12(F.relu(self.bn12(self.conv12(x11))))\n",
    "        x1p = F.max_pool2d(x12_1, kernel_size=2, stride=2)\n",
    "\n",
    "\n",
    "        # Stage 2\n",
    "        x21 = self.do21(F.relu(self.bn21(self.conv21(x1p))))\n",
    "        x22_1 = self.do22(F.relu(self.bn22(self.conv22(x21))))\n",
    "        x2p = F.max_pool2d(x22_1, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 3\n",
    "        x31 = self.do31(F.relu(self.bn31(self.conv31(x2p))))\n",
    "        x32 = self.do32(F.relu(self.bn32(self.conv32(x31))))\n",
    "        x33_1 = self.do33(F.relu(self.bn33(self.conv33(x32))))\n",
    "        x3p = F.max_pool2d(x33_1, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 4\n",
    "        x41 = self.do41(F.relu(self.bn41(self.conv41(x3p))))\n",
    "        x42 = self.do42(F.relu(self.bn42(self.conv42(x41))))\n",
    "        x43_1 = self.do43(F.relu(self.bn43(self.conv43(x42))))\n",
    "        x4p = F.max_pool2d(x43_1, kernel_size=2, stride=2)\n",
    "\n",
    "\n",
    "        ####################################################\n",
    "        # Stage 1\n",
    "        x11 = self.do11(F.relu(self.bn11(self.conv11(x2))))\n",
    "        x12_2 = self.do12(F.relu(self.bn12(self.conv12(x11))))\n",
    "        x1p = F.max_pool2d(x12_2, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 2\n",
    "        x21 = self.do21(F.relu(self.bn21(self.conv21(x1p))))\n",
    "        x22_2 = self.do22(F.relu(self.bn22(self.conv22(x21))))\n",
    "        x2p = F.max_pool2d(x22_2, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 3\n",
    "        x31 = self.do31(F.relu(self.bn31(self.conv31(x2p))))\n",
    "        x32 = self.do32(F.relu(self.bn32(self.conv32(x31))))\n",
    "        x33_2 = self.do33(F.relu(self.bn33(self.conv33(x32))))\n",
    "        x3p = F.max_pool2d(x33_2, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 4\n",
    "        x41 = self.do41(F.relu(self.bn41(self.conv41(x3p))))\n",
    "        x42 = self.do42(F.relu(self.bn42(self.conv42(x41))))\n",
    "        x43_2 = self.do43(F.relu(self.bn43(self.conv43(x42))))\n",
    "        x4p = F.max_pool2d(x43_2, kernel_size=2, stride=2)\n",
    "\n",
    "\n",
    "        ####################################################\n",
    "        # Stage 4d\n",
    "        x4d = self.upconv4(x4p)\n",
    "        pad4 = ReplicationPad2d((0, x43_1.size(3) - x4d.size(3), 0, x43_1.size(2) - x4d.size(2)))\n",
    "        x4d = torch.cat((pad4(x4d), x43_1, x43_2), 1)\n",
    "        x43d = self.do43d(F.relu(self.bn43d(self.conv43d(x4d))))\n",
    "        x42d = self.do42d(F.relu(self.bn42d(self.conv42d(x43d))))\n",
    "        x41d = self.do41d(F.relu(self.bn41d(self.conv41d(x42d))))\n",
    "\n",
    "        # Stage 3d\n",
    "        x3d = self.upconv3(x41d)\n",
    "        pad3 = ReplicationPad2d((0, x33_1.size(3) - x3d.size(3), 0, x33_1.size(2) - x3d.size(2)))\n",
    "        x3d = torch.cat((pad3(x3d), x33_1, x33_2), 1)\n",
    "        x33d = self.do33d(F.relu(self.bn33d(self.conv33d(x3d))))\n",
    "        x32d = self.do32d(F.relu(self.bn32d(self.conv32d(x33d))))\n",
    "        x31d = self.do31d(F.relu(self.bn31d(self.conv31d(x32d))))\n",
    "\n",
    "        # Stage 2d\n",
    "        x2d = self.upconv2(x31d)\n",
    "        pad2 = ReplicationPad2d((0, x22_1.size(3) - x2d.size(3), 0, x22_1.size(2) - x2d.size(2)))\n",
    "        x2d = torch.cat((pad2(x2d), x22_1, x22_2), 1)\n",
    "        x22d = self.do22d(F.relu(self.bn22d(self.conv22d(x2d))))\n",
    "        x21d = self.do21d(F.relu(self.bn21d(self.conv21d(x22d))))\n",
    "\n",
    "        # Stage 1d\n",
    "        x1d = self.upconv1(x21d)\n",
    "        pad1 = ReplicationPad2d((0, x12_1.size(3) - x1d.size(3), 0, x12_1.size(2) - x1d.size(2)))\n",
    "        x1d = torch.cat((pad1(x1d), x12_1, x12_2), 1)\n",
    "        x12d = self.do12d(F.relu(self.bn12d(self.conv12d(x1d))))\n",
    "        x11d = self.conv11d(x12d)\n",
    "\n",
    "        return self.sm(x11d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %load xqf/codefromfrance/siamunet_diff.py\n",
    "# Rodrigo Caye Daudt\n",
    "# https://rcdaudt.github.io/\n",
    "# Daudt, R. C., Le Saux, B., & Boulch, A. \"Fully convolutional siamese networks for change detection\". In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 4063-4067). IEEE.\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch.nn.modules.padding import ReplicationPad2d\n",
    "\n",
    "class SiamUnet_diff(nn.Module):\n",
    "    \"\"\"SiamUnet_diff segmentation network.\"\"\"\n",
    "\n",
    "    def __init__(self, input_nbr, label_nbr):\n",
    "        super(SiamUnet_diff, self).__init__()\n",
    "\n",
    "        self.input_nbr = input_nbr\n",
    "\n",
    "        self.conv11 = nn.Conv2d(input_nbr, 16, kernel_size=3, padding=1)\n",
    "        self.bn11 = nn.BatchNorm2d(16)\n",
    "        self.do11 = nn.Dropout2d(p=0.2)\n",
    "        self.conv12 = nn.Conv2d(16, 16, kernel_size=3, padding=1)\n",
    "        self.bn12 = nn.BatchNorm2d(16)\n",
    "        self.do12 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.conv21 = nn.Conv2d(16, 32, kernel_size=3, padding=1)\n",
    "        self.bn21 = nn.BatchNorm2d(32)\n",
    "        self.do21 = nn.Dropout2d(p=0.2)\n",
    "        self.conv22 = nn.Conv2d(32, 32, kernel_size=3, padding=1)\n",
    "        self.bn22 = nn.BatchNorm2d(32)\n",
    "        self.do22 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.conv31 = nn.Conv2d(32, 64, kernel_size=3, padding=1)\n",
    "        self.bn31 = nn.BatchNorm2d(64)\n",
    "        self.do31 = nn.Dropout2d(p=0.2)\n",
    "        self.conv32 = nn.Conv2d(64, 64, kernel_size=3, padding=1)\n",
    "        self.bn32 = nn.BatchNorm2d(64)\n",
    "        self.do32 = nn.Dropout2d(p=0.2)\n",
    "        self.conv33 = nn.Conv2d(64, 64, kernel_size=3, padding=1)\n",
    "        self.bn33 = nn.BatchNorm2d(64)\n",
    "        self.do33 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.conv41 = nn.Conv2d(64, 128, kernel_size=3, padding=1)\n",
    "        self.bn41 = nn.BatchNorm2d(128)\n",
    "        self.do41 = nn.Dropout2d(p=0.2)\n",
    "        self.conv42 = nn.Conv2d(128, 128, kernel_size=3, padding=1)\n",
    "        self.bn42 = nn.BatchNorm2d(128)\n",
    "        self.do42 = nn.Dropout2d(p=0.2)\n",
    "        self.conv43 = nn.Conv2d(128, 128, kernel_size=3, padding=1)\n",
    "        self.bn43 = nn.BatchNorm2d(128)\n",
    "        self.do43 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv4 = nn.ConvTranspose2d(128, 128, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv43d = nn.ConvTranspose2d(256, 128, kernel_size=3, padding=1)\n",
    "        self.bn43d = nn.BatchNorm2d(128)\n",
    "        self.do43d = nn.Dropout2d(p=0.2)\n",
    "        self.conv42d = nn.ConvTranspose2d(128, 128, kernel_size=3, padding=1)\n",
    "        self.bn42d = nn.BatchNorm2d(128)\n",
    "        self.do42d = nn.Dropout2d(p=0.2)\n",
    "        self.conv41d = nn.ConvTranspose2d(128, 64, kernel_size=3, padding=1)\n",
    "        self.bn41d = nn.BatchNorm2d(64)\n",
    "        self.do41d = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv3 = nn.ConvTranspose2d(64, 64, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv33d = nn.ConvTranspose2d(128, 64, kernel_size=3, padding=1)\n",
    "        self.bn33d = nn.BatchNorm2d(64)\n",
    "        self.do33d = nn.Dropout2d(p=0.2)\n",
    "        self.conv32d = nn.ConvTranspose2d(64, 64, kernel_size=3, padding=1)\n",
    "        self.bn32d = nn.BatchNorm2d(64)\n",
    "        self.do32d = nn.Dropout2d(p=0.2)\n",
    "        self.conv31d = nn.ConvTranspose2d(64, 32, kernel_size=3, padding=1)\n",
    "        self.bn31d = nn.BatchNorm2d(32)\n",
    "        self.do31d = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv2 = nn.ConvTranspose2d(32, 32, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv22d = nn.ConvTranspose2d(64, 32, kernel_size=3, padding=1)\n",
    "        self.bn22d = nn.BatchNorm2d(32)\n",
    "        self.do22d = nn.Dropout2d(p=0.2)\n",
    "        self.conv21d = nn.ConvTranspose2d(32, 16, kernel_size=3, padding=1)\n",
    "        self.bn21d = nn.BatchNorm2d(16)\n",
    "        self.do21d = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv1 = nn.ConvTranspose2d(16, 16, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv12d = nn.ConvTranspose2d(32, 16, kernel_size=3, padding=1)\n",
    "        self.bn12d = nn.BatchNorm2d(16)\n",
    "        self.do12d = nn.Dropout2d(p=0.2)\n",
    "        self.conv11d = nn.ConvTranspose2d(16, label_nbr, kernel_size=3, padding=1)\n",
    "\n",
    "        self.sm = nn.LogSoftmax(dim=1)\n",
    "\n",
    "    def forward(self, x1, x2):\n",
    "\n",
    "\n",
    "        \"\"\"Forward method.\"\"\"\n",
    "        # Stage 1\n",
    "        x11 = self.do11(F.relu(self.bn11(self.conv11(x1))))\n",
    "        x12_1 = self.do12(F.relu(self.bn12(self.conv12(x11))))\n",
    "        x1p = F.max_pool2d(x12_1, kernel_size=2, stride=2)\n",
    "\n",
    "\n",
    "        # Stage 2\n",
    "        x21 = self.do21(F.relu(self.bn21(self.conv21(x1p))))\n",
    "        x22_1 = self.do22(F.relu(self.bn22(self.conv22(x21))))\n",
    "        x2p = F.max_pool2d(x22_1, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 3\n",
    "        x31 = self.do31(F.relu(self.bn31(self.conv31(x2p))))\n",
    "        x32 = self.do32(F.relu(self.bn32(self.conv32(x31))))\n",
    "        x33_1 = self.do33(F.relu(self.bn33(self.conv33(x32))))\n",
    "        x3p = F.max_pool2d(x33_1, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 4\n",
    "        x41 = self.do41(F.relu(self.bn41(self.conv41(x3p))))\n",
    "        x42 = self.do42(F.relu(self.bn42(self.conv42(x41))))\n",
    "        x43_1 = self.do43(F.relu(self.bn43(self.conv43(x42))))\n",
    "        x4p = F.max_pool2d(x43_1, kernel_size=2, stride=2)\n",
    "\n",
    "        ####################################################\n",
    "        # Stage 1\n",
    "        x11 = self.do11(F.relu(self.bn11(self.conv11(x2))))\n",
    "        x12_2 = self.do12(F.relu(self.bn12(self.conv12(x11))))\n",
    "        x1p = F.max_pool2d(x12_2, kernel_size=2, stride=2)\n",
    "\n",
    "\n",
    "        # Stage 2\n",
    "        x21 = self.do21(F.relu(self.bn21(self.conv21(x1p))))\n",
    "        x22_2 = self.do22(F.relu(self.bn22(self.conv22(x21))))\n",
    "        x2p = F.max_pool2d(x22_2, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 3\n",
    "        x31 = self.do31(F.relu(self.bn31(self.conv31(x2p))))\n",
    "        x32 = self.do32(F.relu(self.bn32(self.conv32(x31))))\n",
    "        x33_2 = self.do33(F.relu(self.bn33(self.conv33(x32))))\n",
    "        x3p = F.max_pool2d(x33_2, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 4\n",
    "        x41 = self.do41(F.relu(self.bn41(self.conv41(x3p))))\n",
    "        x42 = self.do42(F.relu(self.bn42(self.conv42(x41))))\n",
    "        x43_2 = self.do43(F.relu(self.bn43(self.conv43(x42))))\n",
    "        x4p = F.max_pool2d(x43_2, kernel_size=2, stride=2)\n",
    "\n",
    "\n",
    "\n",
    "        # Stage 4d\n",
    "        x4d = self.upconv4(x4p)\n",
    "        pad4 = ReplicationPad2d((0, x43_1.size(3) - x4d.size(3), 0, x43_1.size(2) - x4d.size(2)))\n",
    "        x4d = torch.cat((pad4(x4d), torch.abs(x43_1 - x43_2)), 1)\n",
    "        x43d = self.do43d(F.relu(self.bn43d(self.conv43d(x4d))))\n",
    "        x42d = self.do42d(F.relu(self.bn42d(self.conv42d(x43d))))\n",
    "        x41d = self.do41d(F.relu(self.bn41d(self.conv41d(x42d))))\n",
    "\n",
    "        # Stage 3d\n",
    "        x3d = self.upconv3(x41d)\n",
    "        pad3 = ReplicationPad2d((0, x33_1.size(3) - x3d.size(3), 0, x33_1.size(2) - x3d.size(2)))\n",
    "        x3d = torch.cat((pad3(x3d), torch.abs(x33_1 - x33_2)), 1)\n",
    "        x33d = self.do33d(F.relu(self.bn33d(self.conv33d(x3d))))\n",
    "        x32d = self.do32d(F.relu(self.bn32d(self.conv32d(x33d))))\n",
    "        x31d = self.do31d(F.relu(self.bn31d(self.conv31d(x32d))))\n",
    "\n",
    "        # Stage 2d\n",
    "        x2d = self.upconv2(x31d)\n",
    "        pad2 = ReplicationPad2d((0, x22_1.size(3) - x2d.size(3), 0, x22_1.size(2) - x2d.size(2)))\n",
    "        x2d = torch.cat((pad2(x2d), torch.abs(x22_1 - x22_2)), 1)\n",
    "        x22d = self.do22d(F.relu(self.bn22d(self.conv22d(x2d))))\n",
    "        x21d = self.do21d(F.relu(self.bn21d(self.conv21d(x22d))))\n",
    "\n",
    "        # Stage 1d\n",
    "        x1d = self.upconv1(x21d)\n",
    "        pad1 = ReplicationPad2d((0, x12_1.size(3) - x1d.size(3), 0, x12_1.size(2) - x1d.size(2)))\n",
    "        x1d = torch.cat((pad1(x1d), torch.abs(x12_1 - x12_2)), 1)\n",
    "        x12d = self.do12d(F.relu(self.bn12d(self.conv12d(x1d))))\n",
    "        x11d = self.conv11d(x12d)\n",
    "\n",
    "        return self.sm(x11d)\n",
    "   \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %load xqf/codefromfrance/unet.py\n",
    "# Rodrigo Caye Daudt\n",
    "# https://rcdaudt.github.io/\n",
    "# Daudt, R. C., Le Saux, B., & Boulch, A. \"Fully convolutional siamese networks for change detection\". In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 4063-4067). IEEE.\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch.nn.modules.padding import ReplicationPad2d\n",
    "\n",
    "class Unet(nn.Module):\n",
    "    \"\"\"EF segmentation network.\"\"\"\n",
    "\n",
    "    def __init__(self, input_nbr, label_nbr):\n",
    "        super(Unet, self).__init__()\n",
    "\n",
    "        self.input_nbr = input_nbr\n",
    "\n",
    "        self.conv11 = nn.Conv2d(input_nbr, 16, kernel_size=3, padding=1)\n",
    "        self.bn11 = nn.BatchNorm2d(16)\n",
    "        self.do11 = nn.Dropout2d(p=0.2)\n",
    "        self.conv12 = nn.Conv2d(16, 16, kernel_size=3, padding=1)\n",
    "        self.bn12 = nn.BatchNorm2d(16)\n",
    "        self.do12 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.conv21 = nn.Conv2d(16, 32, kernel_size=3, padding=1)\n",
    "        self.bn21 = nn.BatchNorm2d(32)\n",
    "        self.do21 = nn.Dropout2d(p=0.2)\n",
    "        self.conv22 = nn.Conv2d(32, 32, kernel_size=3, padding=1)\n",
    "        self.bn22 = nn.BatchNorm2d(32)\n",
    "        self.do22 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.conv31 = nn.Conv2d(32, 64, kernel_size=3, padding=1)\n",
    "        self.bn31 = nn.BatchNorm2d(64)\n",
    "        self.do31 = nn.Dropout2d(p=0.2)\n",
    "        self.conv32 = nn.Conv2d(64, 64, kernel_size=3, padding=1)\n",
    "        self.bn32 = nn.BatchNorm2d(64)\n",
    "        self.do32 = nn.Dropout2d(p=0.2)\n",
    "        self.conv33 = nn.Conv2d(64, 64, kernel_size=3, padding=1)\n",
    "        self.bn33 = nn.BatchNorm2d(64)\n",
    "        self.do33 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.conv41 = nn.Conv2d(64, 128, kernel_size=3, padding=1)\n",
    "        self.bn41 = nn.BatchNorm2d(128)\n",
    "        self.do41 = nn.Dropout2d(p=0.2)\n",
    "        self.conv42 = nn.Conv2d(128, 128, kernel_size=3, padding=1)\n",
    "        self.bn42 = nn.BatchNorm2d(128)\n",
    "        self.do42 = nn.Dropout2d(p=0.2)\n",
    "        self.conv43 = nn.Conv2d(128, 128, kernel_size=3, padding=1)\n",
    "        self.bn43 = nn.BatchNorm2d(128)\n",
    "        self.do43 = nn.Dropout2d(p=0.2)\n",
    "\n",
    "\n",
    "        self.upconv4 = nn.ConvTranspose2d(128, 128, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv43d = nn.ConvTranspose2d(256, 128, kernel_size=3, padding=1)\n",
    "        self.bn43d = nn.BatchNorm2d(128)\n",
    "        self.do43d = nn.Dropout2d(p=0.2)\n",
    "        self.conv42d = nn.ConvTranspose2d(128, 128, kernel_size=3, padding=1)\n",
    "        self.bn42d = nn.BatchNorm2d(128)\n",
    "        self.do42d = nn.Dropout2d(p=0.2)\n",
    "        self.conv41d = nn.ConvTranspose2d(128, 64, kernel_size=3, padding=1)\n",
    "        self.bn41d = nn.BatchNorm2d(64)\n",
    "        self.do41d = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv3 = nn.ConvTranspose2d(64, 64, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv33d = nn.ConvTranspose2d(128, 64, kernel_size=3, padding=1)\n",
    "        self.bn33d = nn.BatchNorm2d(64)\n",
    "        self.do33d = nn.Dropout2d(p=0.2)\n",
    "        self.conv32d = nn.ConvTranspose2d(64, 64, kernel_size=3, padding=1)\n",
    "        self.bn32d = nn.BatchNorm2d(64)\n",
    "        self.do32d = nn.Dropout2d(p=0.2)\n",
    "        self.conv31d = nn.ConvTranspose2d(64, 32, kernel_size=3, padding=1)\n",
    "        self.bn31d = nn.BatchNorm2d(32)\n",
    "        self.do31d = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv2 = nn.ConvTranspose2d(32, 32, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv22d = nn.ConvTranspose2d(64, 32, kernel_size=3, padding=1)\n",
    "        self.bn22d = nn.BatchNorm2d(32)\n",
    "        self.do22d = nn.Dropout2d(p=0.2)\n",
    "        self.conv21d = nn.ConvTranspose2d(32, 16, kernel_size=3, padding=1)\n",
    "        self.bn21d = nn.BatchNorm2d(16)\n",
    "        self.do21d = nn.Dropout2d(p=0.2)\n",
    "\n",
    "        self.upconv1 = nn.ConvTranspose2d(16, 16, kernel_size=3, padding=1, stride=2, output_padding=1)\n",
    "\n",
    "        self.conv12d = nn.ConvTranspose2d(32, 16, kernel_size=3, padding=1)\n",
    "        self.bn12d = nn.BatchNorm2d(16)\n",
    "        self.do12d = nn.Dropout2d(p=0.2)\n",
    "        self.conv11d = nn.ConvTranspose2d(16, label_nbr, kernel_size=3, padding=1)\n",
    "\n",
    "        self.sm = nn.LogSoftmax(dim=1)\n",
    "\n",
    "    def forward(self, x1, x2):\n",
    "\n",
    "        x = torch.cat((x1, x2), 1)\n",
    "\n",
    "        \"\"\"Forward method.\"\"\"\n",
    "        # Stage 1\n",
    "        x11 = self.do11(F.relu(self.bn11(self.conv11(x))))\n",
    "        x12 = self.do12(F.relu(self.bn12(self.conv12(x11))))\n",
    "        x1p = F.max_pool2d(x12, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 2\n",
    "        x21 = self.do21(F.relu(self.bn21(self.conv21(x1p))))\n",
    "        x22 = self.do22(F.relu(self.bn22(self.conv22(x21))))\n",
    "        x2p = F.max_pool2d(x22, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 3\n",
    "        x31 = self.do31(F.relu(self.bn31(self.conv31(x2p))))\n",
    "        x32 = self.do32(F.relu(self.bn32(self.conv32(x31))))\n",
    "        x33 = self.do33(F.relu(self.bn33(self.conv33(x32))))\n",
    "        x3p = F.max_pool2d(x33, kernel_size=2, stride=2)\n",
    "\n",
    "        # Stage 4\n",
    "        x41 = self.do41(F.relu(self.bn41(self.conv41(x3p))))\n",
    "        x42 = self.do42(F.relu(self.bn42(self.conv42(x41))))\n",
    "        x43 = self.do43(F.relu(self.bn43(self.conv43(x42))))\n",
    "        x4p = F.max_pool2d(x43, kernel_size=2, stride=2)\n",
    "\n",
    "\n",
    "        # Stage 4d\n",
    "        x4d = self.upconv4(x4p)\n",
    "        pad4 = ReplicationPad2d((0, x43.size(3) - x4d.size(3), 0, x43.size(2) - x4d.size(2)))\n",
    "        x4d = torch.cat((pad4(x4d), x43), 1)\n",
    "        x43d = self.do43d(F.relu(self.bn43d(self.conv43d(x4d))))\n",
    "        x42d = self.do42d(F.relu(self.bn42d(self.conv42d(x43d))))\n",
    "        x41d = self.do41d(F.relu(self.bn41d(self.conv41d(x42d))))\n",
    "\n",
    "        # Stage 3d\n",
    "        x3d = self.upconv3(x41d)\n",
    "        pad3 = ReplicationPad2d((0, x33.size(3) - x3d.size(3), 0, x33.size(2) - x3d.size(2)))\n",
    "        x3d = torch.cat((pad3(x3d), x33), 1)\n",
    "        x33d = self.do33d(F.relu(self.bn33d(self.conv33d(x3d))))\n",
    "        x32d = self.do32d(F.relu(self.bn32d(self.conv32d(x33d))))\n",
    "        x31d = self.do31d(F.relu(self.bn31d(self.conv31d(x32d))))\n",
    "\n",
    "        # Stage 2d\n",
    "        x2d = self.upconv2(x31d)\n",
    "        pad2 = ReplicationPad2d((0, x22.size(3) - x2d.size(3), 0, x22.size(2) - x2d.size(2)))\n",
    "        x2d = torch.cat((pad2(x2d), x22), 1)\n",
    "        x22d = self.do22d(F.relu(self.bn22d(self.conv22d(x2d))))\n",
    "        x21d = self.do21d(F.relu(self.bn21d(self.conv21d(x22d))))\n",
    "\n",
    "        # Stage 1d\n",
    "        x1d = self.upconv1(x21d)\n",
    "        pad1 = ReplicationPad2d((0, x12.size(3) - x1d.size(3), 0, x12.size(2) - x1d.size(2)))\n",
    "        x1d = torch.cat((pad1(x1d), x12), 1)\n",
    "        x12d = self.do12d(F.relu(self.bn12d(self.conv12d(x1d))))\n",
    "        x11d = self.conv11d(x12d)\n",
    "\n",
    "        return self.sm(x11d)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\office\\office\\python\\python3.6.2\\lib\\site-packages\\ipykernel_launcher.py:3: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument.\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "tensor([[-0.9661, -0.8067, -1.7540],\n",
       "        [-0.7558, -0.8359, -2.3342]])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = nn.LogSoftmax()\n",
    "input = torch.randn(2, 3)\n",
    "output = m(input)\n",
    "output"
   ]
  }
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